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<urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd"><url><loc>https://doughenschen.com/2020/03/04/c3-ai-highlights-ai-platform-adoption-scores-ibm-partnership/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2020/03/brice-rosenzweig-bank-of-america-e1583339878347.jpg</image:loc><image:title>Brice Rosenzweig - Bank of America</image:title><image:caption>Bank of America executive Brice Rosenzweig discusses progress on cash management and lending optimization applications in development. (Source:  Doug Henschen)</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2020/03/daniel-jeavons-shell-e1583339671636.jpg</image:loc><image:title>Daniel Jeavons - Shell</image:title><image:caption>Daniel Jeavons, Shell's general manager of data science, details the company's data-driven predictive maintenance and optimization apps built on C3.ai. (Source: Doug Henschen) </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2020/03/tom-siebel.jpg</image:loc><image:title>Tom Siebel</image:title><image:caption>C3.ai founder and CEO Tom Siebel keynoting at the company's February 25-27 Transform event in San Francisco.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2020/03/c3ai-connectors-delivered-in-2019-e1583338459638.jpg</image:loc><image:title>C3ai Connectors Delivered in 2019</image:title><image:caption>C3.ai offers connectors and integrations to these popular IDEs, frameworks, suites, tools and DevOps  options.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2020/03/c3-ai-suite-functional-capabilities.jpg</image:loc><image:title>C3 AI Suite Functional Capabilities</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2020/03/c3-ai-suite-e1583338732965.jpg</image:loc><image:title>C3 AI Suite</image:title></image:image><lastmod>2020-03-05T19:43:38+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2019/10/28/analytics-for-applications-three-next-generation-options/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/10/oracle-analytics-for-apps.jpg</image:loc><image:title>Oracle Analytics for Apps</image:title><image:caption>Oracle Analytics for Applications includes instances of the Autonomous Data Warehouse and supporting data integration services.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/10/analytics.jpg</image:loc><image:title>Analytics</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/10/sap-data-warehouse-cloud.jpg</image:loc><image:title>SAP Data Warehouse Cloud</image:title><image:caption>SAP says its new SAP Data Warehouse Cloud service offers rapid deployment and elastic scalability.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/10/oracle-analytics-for-fusion-erp.jpg</image:loc><image:title>Oracle Analytics for Fusion ERP</image:title><image:caption>Examples of pre-built key performance indicators included with Oracle Analytics for Fusion ERP.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/10/workday-people-analytics.jpg</image:loc><image:title>Workday People Analytics</image:title><image:caption>Workday People Analytics is an augmented analytic app that compliments Workday HCM.</image:caption></image:image><lastmod>2019-10-29T21:19:30+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2019/05/06/workday-unifies-approach-to-machine-learning-analytics-and-planning/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/05/cavallo-point-ca.jpg</image:loc><image:title>Cavallo Point, CA</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/05/adaptive-insights-a-workday-company.jpg</image:loc><image:title>Adaptive Insights a Workday Company</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/05/workday-machine-learning-approach.jpg</image:loc><image:title>Workday Machine Learning Approach</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/05/workday-platform-e1557150334812.jpg</image:loc><image:title>Workday Platform</image:title></image:image><lastmod>2019-05-07T14:49:25+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2019/03/25/oracle-modern-cx-spotlights-customer-data-platform-ai-accelerator/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/03/oracle-cx-2019-event-report-2.jpg</image:loc><image:title>Oracle CX 2019 Event Report</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/03/oracle-cx-unity.jpg</image:loc><image:title>Oracle CX Unity</image:title><image:caption>Oracle CX Unity, due in 2019, is the company's entry into the customer data platform (CDP) market.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/03/rob-tarkoff.jpg</image:loc><image:title>Rob Tarkoff</image:title><image:caption>Rob Tarkoff, EVP and GM of Oracle CX Cloud, kicks off Modern CX 2019.</image:caption></image:image><lastmod>2019-04-08T15:25:50+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2019/02/10/microstrategy-embeds-analytics-into-any-web-interface/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/02/michael-saylor-e1549854389586.jpg</image:loc><image:title>Michael Saylor, CEO, MicroStrategy</image:title><image:caption>MicroStrategy CEO, Michael Saylor, at MicroStrategy World 2019</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/02/hypercards.jpg</image:loc><image:title>HyperCards</image:title><image:caption>Customizable HyperCards can be configured to offer details on customers, left, products, right, or suppliers, organizations, employees and so on.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2019/02/hypercard-alpine.jpg</image:loc><image:title>HyperCard Alpine</image:title><image:caption>MicroStrategy's HyperIntelligence technology surfaces and lets you drill down on customizable, analytic "HyperCards" whenever you hover a selected hyperlink.</image:caption></image:image><lastmod>2019-02-11T03:24:30+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/10/01/salesforce-dreamforce-2018-spotlights-identity-integration-ai-and-getting-more-for-less/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/10/benioff-31.jpg</image:loc><image:title>Marc Benioff</image:title><image:caption>Salesforce co-CEO and co-founder Marc Benioff at Dreamforce 2018</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/10/salesforce-intelligent-experience.jpg</image:loc><image:title>Salesforce Intelligent Experience</image:title><image:caption>Salesforce sees analytics and predictions as embedded capabilities that should drive action within Salesforce CRM applications.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/10/einstein-analytics-plus.jpg</image:loc><image:title>Einstein Analytics Plus</image:title><image:caption>A new "Plus" offering blends the descriptive and diagnostic capabilities of Einstein Analytics with Einstein Discovery and Prediction Builder.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/10/customer-360.jpg</image:loc><image:title>Customer 360</image:title><image:caption>Customer 360 will provide a built-in (free) service that will resolve customer identities and ongoing changes across Salesforce clouds, but it won't be available until the second half of 2019.</image:caption></image:image><lastmod>2019-02-11T03:18:53+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/09/26/microsoft-steps-up-data-platform-and-ai-ambitions/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/satya-nadella1.jpg</image:loc><image:title>Satya Nadella</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/satya-nadella.jpg</image:loc><image:title>Satya Nadella</image:title><image:caption>Microsoft CEO Satya Nadella keynoting at Ignite 2018 in Orlando, Fla.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/azure-ml-stack.jpg</image:loc><image:title>Azure ML Stack</image:title><image:caption>Microsoft is investing in machine learning and AI at five levels of what it informally calls its Azure ML stack.  </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/microsoft-sql-server-2019-architecture.jpg</image:loc><image:title>Microsoft SQL Server 2019 Architecture</image:title><image:caption>Microsoft SQL Server 2019 deploys on Kubernetes and includes a big data cluster architecture that unifies the worlds of relational and big data analysis.</image:caption></image:image><lastmod>2018-09-27T23:16:07+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/09/11/tibco-extends-its-data-intelligence-vision/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/tibco-2018.jpg</image:loc><image:title>TIBCO 2018</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/tibco-data-intelligence-portfolio.jpg</image:loc><image:title>TIBCO Data Intelligence portfolio</image:title><image:caption>TIBCO executives say underlying "data intelligence" capabilities including data wrangling, data cataloging and virtualization will be a boon to analytics and data science teams.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/09/tibco-evolution-2014-2018.png</image:loc><image:title>TIBCO EVOLUTION 2014-2018</image:title><image:caption>Since 2014, TIBCO has added data cataloging capabilities and acquired the CISCO Integration Server (formerly Composite Software), Statistica and Alpine Data, among other assets.</image:caption></image:image><lastmod>2018-09-13T00:46:46+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/06/12/alteryx-offers-gift-of-time-for-analytical-innovation/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/06/alteryx-inspire-18-upgrades.jpg</image:loc><image:title>ALteryx Inspire 18 Upgrades</image:title><image:caption>Alteryx VP of Product Management Ashley Kramer introduces the long list of upgrades the company has planned for 2018 and beyond. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/06/alteryx-inspire-18-ceo.jpg</image:loc><image:title>Alteryx Inspire 18 CEO</image:title><image:caption>Alteryx CEO Dean Stoecker talks about customers that gained time they could redirect toward innovation.</image:caption></image:image><lastmod>2019-07-06T15:52:25+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/05/01/qlik-hits-reset-button-rolls-out-new-cloud-ai-and-developer-capabilities/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/05/qlik-core.jpg</image:loc><image:title>Qlik Core</image:title><image:caption>Qlik Core, set for beta release this summer, exposes Qlik analytics capabilites as API-accessible micros services for cloud-oriented development.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/05/mike-capone-2018-e1525179175999.jpg</image:loc><image:title>Mike Capone 2018</image:title><image:caption>Qlik's new CEO, Mike Capone, was previously COO at Medidata and VP, SVP and CIO, successively, at ADP.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/05/qlik-cloud-2018.jpg</image:loc><image:title>Qlik Multi-Cloud Solution Vision 2018</image:title><image:caption>Qlik will promote hybrid- and multi-cloud deployment in part by adding support for containerization and Linux beginning in June..</image:caption></image:image><lastmod>2018-05-02T12:25:05+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/about/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/01/doug-henschen-2017-small.jpg</image:loc><image:title>Doug Henschen</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/doug-henschen-constellation-research.jpg</image:loc><image:title>doug-henschen-constellation-research</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/doug-henschen1.jpg</image:loc><image:title>Doug Henschen</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/doug-henschen.jpg</image:loc><image:title>Doug Henschen</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/cropped-favicon-color-01-e1430362118343.png</image:loc><image:title>cropped-favicon-color-01-e1430362118343.png</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/douglas-henschen.jpg</image:loc><image:title>Douglas Henschen</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/constellation-logo-color-with-tmweb-01.png</image:loc><image:title>constellation logo-color-with tmweb-01</image:title></image:image><lastmod>2018-05-01T14:26:51+00:00</lastmod><changefreq>weekly</changefreq><priority>0.6</priority></url><url><loc>https://doughenschen.com/2018/04/13/cloudera-transitions-doubles-down-on-data-science-analytics-and-cloud/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/04/cloudera-altus.jpg</image:loc><image:title>Cloudera Altus</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/04/cloudera-ml.jpg</image:loc><image:title>Cloudera ML</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/04/cloudera-sdx.jpg</image:loc><image:title>Cloudera SDX</image:title></image:image><lastmod>2018-04-17T13:27:22+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/04/04/nvidia-accelerates-artificial-intelligence-analytics-with-an-ecosystem-approach/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/04/mapd-visualization.jpg</image:loc><image:title>MapD visualization</image:title><image:caption>In an example of GPU-accelerated analytics, this MapD geospatial analysis shows six years worth -- 11.6 billion records -- of shipping traffic along the coast of California without aggregation.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/04/nvidia-gtc-huang.jpg</image:loc><image:title>Nvidia GTC Huang</image:title><image:caption>Jensen Huang, co-founder, president and CEO, Nvidia, presents the sweep of the company's growing AI Platform at GTC 2018 in San Jose, Calif.</image:caption></image:image><lastmod>2018-04-05T13:02:07+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/03/19/domo-focuses-its-cloud-based-analytics-message-adds-predictive-options/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/03/domo-mr-roboto-mobile-views.jpg</image:loc><image:title>Domo - Mr. Roboto Mobile views</image:title><image:caption>Mobile views of coming Mr. Roboto capabilities including, left to right, natural language generation, forecasting and correlation.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/03/domopalooza-2018-announcements.jpg</image:loc><image:title>Domopalooza 2018 announcements</image:title><image:caption>Most of these announcements from Domopalooza 2018 will see beta release in spring and general availability this summer.</image:caption></image:image><lastmod>2018-03-20T17:42:26+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/03/02/mariadb-joins-latest-honorees-on-my-constellation-shortlists/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/03/mariadb-ax.jpg</image:loc><image:title>MariaDB AX</image:title><image:caption>MariaDB AX, introduced in 2017, adds a columnstore to MariaDB for analytical advantages including high compression, faster querying and simplified administration.  </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/03/mariadb-michael-howard.jpg</image:loc><image:title>MariaDB - Michael Howard</image:title><image:caption>MariaDB CEO Michael Howard kicked the vendor's user conference in New York by announcing plans for a database-as-a-service offering and MariaDB Labs research on distributed computing and ML.</image:caption></image:image><lastmod>2018-03-05T13:34:42+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2018/01/24/microstrategy-extends-its-single-source-of-truth-platform/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/01/microstrategy-ad-hoc-to-enterprize-synchronization.jpg</image:loc><image:title>MicroStrategy Ad Hoc to Enterprize Synchronization</image:title><image:caption>MicroStrategy's vision for how ad hoc and departmental assets draw from and sync with the enterprise as the scope of consumption grows.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2018/01/microstrategy-map-of-the-intelligent-enterprise.jpg</image:loc><image:title>MicroStrategy Map of the Intelligent Enterprise</image:title></image:image><lastmod>2018-01-25T20:32:30+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/12/01/amazon-web-services-adds-yet-more-data-and-ml-services-but-when-is-enough-enough/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/12/amazon-reinvent.jpg</image:loc><image:title>Amazon reInvent</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/12/amazon-sagemaker.jpg</image:loc><image:title>Amazon SageMaker</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/12/amazon-neptune.jpg</image:loc><image:title>Amazon Neptune</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/12/aurora-multi-master.jpg</image:loc><image:title>Aurora Multi-Master</image:title></image:image><lastmod>2017-12-01T14:56:44+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/11/08/salesforce-dreamforce-2017-4-next-steps-for-einstein/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/11/einstein-observatory1.jpg</image:loc><image:title>Einstein Observatory</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/11/einstein-prediction-builder-iii.jpg</image:loc><image:title>Einstein Prediction Builder</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/11/einstein-data-insights.jpg</image:loc><image:title>Einstein Data Insights</image:title></image:image><lastmod>2017-11-16T15:41:16+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/11/06/ibm-joins-hybrid-multi-cloud-data-science-chorus/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/11/ibm-data-science-experience.jpg</image:loc><image:title>IBM Data Science Experience</image:title><image:caption>IBM Data Science Experience provides a project-oriented management layer for unified, controlled access to data, models, pipelines, notebooks and collaborative work spaces. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/11/watson-data-platform.jpg</image:loc><image:title>Watson Data Platform</image:title></image:image><lastmod>2017-11-07T07:46:52+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/10/16/tableau-conference-2017-whats-new-whats-coming-whats-missing/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/10/tableau-recommendations.jpg</image:loc><image:title>Tableau Recommendations</image:title><image:caption>Tableau plans to extend existing smart, machine-learning powered recommendation capabilities into views and coming data-prep areas. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/10/tableau-hyper.jpg</image:loc><image:title>Tableau Hyper</image:title><image:caption>For now Tableau Hyper addresses scale and performance demands with structured data. In future it will address NoSQL and graph workloads.</image:caption></image:image><lastmod>2017-10-17T12:23:41+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/10/09/oracle-open-world-2017-9-announcements-to-follow-from-autonomous-to-ai/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/10/oracle-ai-ml-paas.jpg</image:loc><image:title>Oracle AI &amp; ML PaaS</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/10/adptive-intelligent-apps.jpg</image:loc><image:title>Adptive Intelligent Apps</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/10/oracle-autonomous.jpg</image:loc><image:title>Oracle Autonomous Services Vision</image:title></image:image><lastmod>2017-10-14T11:00:23+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/09/26/microsoft-stresses-choice-from-sql-server-2017-to-azure-machine-learning/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/09/azure-ml-workbench.jpg</image:loc><image:title>Azure ML Workbench</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/09/sql-server-2017.jpg</image:loc><image:title>SQL Server 2017</image:title></image:image><lastmod>2017-09-28T12:50:16+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/08/29/oracle-differentiates-its-mysql-cloud-service/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/08/oracle-mysql-cloud-service-differentiators.jpg</image:loc><image:title>Oracle MySQL Cloud Service Differentiators</image:title><image:caption>Oracle MySQL Cloud Service differentiators fall into three categories.</image:caption></image:image><lastmod>2017-08-30T17:07:00+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/08/03/wipro-makes-a-statement-unveiling-silicon-valley-innovation-center/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/08/health-scan.jpg</image:loc><image:title>Health Scan</image:title><image:caption>With facial recognition and machine vision, this voice-interactive, AI-powered vanity mirror monitors health and offers reminders on medications, recommendations and fitness coaching.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/08/store-of-the-future.jpg</image:loc><image:title>Store of the Future</image:title><image:caption>Wipro's Store of the Future concept includes sensor-embedded shelves. Pick up an item and nearby displays detail product specifications and pricing.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/08/digital-twin.jpg</image:loc><image:title>JCB virtual "digital twin"</image:title><image:caption>A virtual "digital twin" of a JCB backhoe supports training and remote repair and maintenance support services.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/08/lobby.jpg</image:loc><image:title>Wipro Silicon Valley Innovation Center</image:title><image:caption>The sleek lobby of Wipro's new Silicon Valley Innovation Center. </image:caption></image:image><lastmod>2017-08-04T12:22:22+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/07/25/infor-advances-data-agenda-with-coleman-ai-birst-bi-integration/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/07/coleman.jpg</image:loc><image:title>Infor Coleman</image:title></image:image><lastmod>2017-07-27T15:33:34+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/05/30/sap-machine-learning-plans-a-deeper-dive-from-sapphire-now/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/05/sap-leonardo-ml-applications.jpg</image:loc><image:title>SAP Leonardo ML Applications</image:title><image:caption>SAP has released a first wave of ML-enabled "apps," listed in blue, and it has two more waves of these ready-to-deploy process components in the works. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/05/sap-machine-learning-ambitions.jpg</image:loc><image:title>SAP Machine Learning Ambitions</image:title><image:caption>SAP's goal with machine learning is to turn all applications into intelligent, highly automated applications with five to seven years.</image:caption></image:image><lastmod>2017-05-31T15:43:37+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/05/23/qlik-plots-course-to-bigdata-cloud-and-ai-innovation/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/05/qlik-augmented-intelligence-vision.png</image:loc><image:title>Qlik Augmented Intelligence Vision</image:title><image:caption>Qlik is promising "augmented intelligence" said to combine the best of machine intelligence with human interaction and decisions.</image:caption></image:image><lastmod>2017-05-23T19:06:12+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/05/16/teradata-transition-to-cloud-and-consulting-continues/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/05/teradata-ecosystem-architecture-services.jpg</image:loc><image:title>Teradata Ecosystem Architecture Services</image:title><image:caption>This “Blended Architecture” slide, from a Teradata Ecosystem Architecture Services presentation, captures the vendor’s realistic sense of its place within enterprise environments.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/05/teradata-intellicloud.jpg</image:loc><image:title>Teradata IntelliCloud</image:title><image:caption>Teradata detailed a new (cloud and on-premises) subscription-based pricing scheme and new cloud services options at its May Influencers Summit.</image:caption></image:image><lastmod>2017-05-17T20:08:32+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/04/28/oracle-launches-first-ai-app-adaptive-intelligent-offers/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/04/oracle-adaptive-intelligent-apps-for-cx.jpg</image:loc><image:title>Oracle Adaptive Intelligent Apps for CX</image:title><image:caption>Adaptive Intelligent Offers delivers a subset of the AI capabilities Oracle has planned for its customer experience cloud. Sales and service features are expected later this year.</image:caption></image:image><lastmod>2017-05-01T19:49:23+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/04/26/sas-takes-next-steps-to-cloud-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/04/sas-visual-application-suite.jpg</image:loc><image:title>SAS Visual application suite</image:title><image:caption>The SAS Visual portfolio can now run on the Viya architecture. I'm hoping to see software-as-a-service options that would appeal to new customers.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/04/sas-viya.jpg</image:loc><image:title>SAS Viya</image:title></image:image><lastmod>2017-04-27T13:28:34+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/04/05/anaplan-steps-up-investment-in-connected-planning/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/04/anaplan-connected-planning.jpg</image:loc><image:title>Anaplan Connected Planning</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/04/anaplan-ceo-frank-calderoni.jpg</image:loc><image:title>Anaplan CEO Frank Calderoni</image:title><image:caption>Frank Calderoni joined Anaplan as CEO in January. He was previously EVP and CFO at RedHat and Cisco, respectively.</image:caption></image:image><lastmod>2017-04-06T21:11:49+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/03/28/domo-climbs-enterprise-ladder-in-cloud-business-intelligence/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/domo-ceo-josh-james.jpg</image:loc><image:title>Domo CEO Josh James</image:title><image:caption>Domo CEO Josh James focused mostly on interviewing big customers during
 his keynote time at Domopalooza 2017.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/domo-customer-wish-list.jpg</image:loc><image:title>Domo Customer wish list</image:title><image:caption>Domo customers shared wished-for feature ideas during Domopalooza's closing session, and the audience raised hands to show their interest.</image:caption></image:image><lastmod>2017-03-30T15:11:14+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/03/23/cloudera-focuses-message-takes-fifth-on-pending-moves/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/cloudera-deployment-packages.jpg</image:loc><image:title>Cloudera Deployment Packages</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/mike-olson.jpg</image:loc><image:title>Mike Olson</image:title><image:caption>Mike Olson, Cloudera's chief strategy officer, positions the company as a major vendor of enterprise data platforms based on open-source innovation.</image:caption></image:image><lastmod>2017-03-28T01:10:39+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/03/13/google-cloud-invests-in-data-services-scales-business/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/data-loss-prevention-api.jpg</image:loc><image:title>Data Loss Prevention API</image:title><image:caption>Google Cloud's Data Loss Prevention API, now in beta,  is designed to automatically discover, classify and redact sensitive data, as shown above.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/dlp-api-1-crop.jpg</image:loc><image:title>DLP API 1 Crop</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/google-cloud-partner-landscape.jpg</image:loc><image:title>Google Cloud Partner Landscape</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/google-cloud-investments.jpg</image:loc><image:title>Google Cloud Investments</image:title><image:caption>Google Cloud's biggest challenge is scaling up the business, not scaling up its already robust technology and network. </image:caption></image:image><lastmod>2017-03-14T16:47:52+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/03/08/salesforce-einstein-rolls-out-ibm-watson-awaits/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/03/salesforce-einstein-ga-features.jpg</image:loc><image:title>Salesforce Einstein GA Features</image:title><image:caption>This slide from the Salesforce "Year of Einstein" video lists 16 of the 20 AI features now generally available.</image:caption></image:image><lastmod>2017-03-10T01:36:48+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/02/17/ibm-next-steps-with-machine-learning-mainframe-and-power/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/02/ibm-ml-roadmap.jpg</image:loc><image:title>ibm-ml-roadmap</image:title><image:caption>The roadmap for IBM ML calls for more choices of languages, machine learning and deep learning libraries and support for IBM's Power Systems platform.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/02/ibm-ml-for-zos.jpg</image:loc><image:title>ibm-ml-for-zos</image:title><image:caption>IBM Machine Learning for z/OS will bring transaction-time analytics to mainframes still heavily used by big banks and insurance companies.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/02/ibm-ml-for-zos-use-cases.jpg</image:loc><image:title>ibm-ml-for-zos-use-cases</image:title><image:caption> </image:caption></image:image><lastmod>2017-02-17T17:58:16+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/02/15/spark-gets-faster-for-streaming-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/02/drizzle-streaming-latency.jpg</image:loc><image:title>drizzle-streaming-latency</image:title><image:caption>The Apache Drizzle execution engine being developed for Spark promises better streaming query performance as measured by Yahoo benchmarks.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/02/spark-progress-2016.jpg</image:loc><image:title>spark-progress-2016</image:title></image:image><lastmod>2017-02-17T14:24:26+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/02/19/spark-summit-east-report-enterprise-appeal-grows/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/02/spark-2-code-generation.jpg</image:loc><image:title>Spark 2 Code Generation</image:title><image:caption>Highlights of the coming Spark 2.0 release include Whole-stage code generation said to bring up to 10X improvements in Spark performance.</image:caption></image:image><lastmod>2017-02-13T19:53:22+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/01/23/oracle-preps-ai-apps-next-steps-for-data-cloud/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/oracle-id-graph.jpg</image:loc><image:title>oracle-id-graph</image:title><image:caption>Oracle ID Graph is the Oracle Data Cloud feature that enables understanding of behaviors and targeting across channels.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/oracle-adaptive-intelligent-applications.jpg</image:loc><image:title>oracle-adaptive-intelligent-applications</image:title><image:caption>The first of five Oracle Adaptive Intelligent Applications currently planned is expected to become generally available in May.</image:caption></image:image><lastmod>2017-06-01T07:54:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/01/19/virginia-tech-fights-zika-with-high-performance-prediction/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/epicaster.jpg</image:loc><image:title>epicaster</image:title><image:caption>The Biocomplexity Institute’s EpiCaster app, which was co-developed by Persistent Systems, is an intuitive, public website for tracking flu and other diseases.</image:caption></image:image><lastmod>2017-01-19T18:49:50+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/01/18/nrf-big-show-2017-spotlights-data-driven-imperatives/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/nrf-big-show-2017.jpg</image:loc><image:title>nrf-big-show-2017</image:title></image:image><lastmod>2017-01-18T17:18:10+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2017/01/09/salesforce-takes-apps-first-approach-with-einstein-ai/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/salesforce-einstein-table-ii.jpg</image:loc><image:title>salesforce-einstein-table-ii</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/salesforce-einstein-apps-table.jpg</image:loc><image:title>salesforce-einstein-apps-table</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2017/01/salesforce-einstein.jpg</image:loc><image:title>salesforce-einstein</image:title><image:caption>Salesforce says it spent more than two years developing an automated data management and machine learning pipeline to drive customer-specific predictions at scale.</image:caption></image:image><lastmod>2017-01-10T15:41:30+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/12/15/mapr-ambition-next-generation-application-platform/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/12/fullsizerender.jpg</image:loc><image:title>fullsizerender</image:title><image:caption>MapR presents its Converged data platform as a more scalable, reliable and performant alternative to Hadoop, NoSQL databases and Kafka combined.</image:caption></image:image><lastmod>2016-12-16T13:29:11+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/12/06/cloud-bi-and-analytics-options-arent-just-for-cloud-data/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/12/constellation-research-report-doug-henschen.jpg</image:loc><image:title>constellation-research-report-doug-henschen</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/12/data-explosion-by-2020.jpg</image:loc><image:title>data-explosion-by-2020</image:title></image:image><lastmod>2016-12-06T14:44:33+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/12/01/aws-analytic-and-ai-services-are-no-surprise-but-they-will-succeed/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/12/amazon-ai-services.jpg</image:loc><image:title>amazon-ai-services</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/12/athena.jpg</image:loc><image:title>athena</image:title></image:image><lastmod>2016-12-01T21:28:42+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/11/14/tableau-sets-stage-for-bigger-analytics-deployments/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/11/tableau-nlp.jpg</image:loc><image:title>tableau-nlp</image:title><image:caption>Natural language query capabilities expected in late 2017 will simplify data exploration for novice and experience analysts alike.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/11/tableau-data-governance.jpg</image:loc><image:title>tableau-data-governance</image:title><image:caption>To support data governance requirements, Tableau will introduce a data-certification capability that will show when measures are and are not based on vetted data and calculations.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/11/tableau-hover-over-insights.jpg</image:loc><image:title>tableau-hover-over-insights</image:title><image:caption>Hover-over insights, shown inset in blue, will bring instant analysis to Tableau that goes beyond showing the details when you mouse over a data point.</image:caption></image:image><lastmod>2016-11-15T13:04:47+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/10/24/qlik-gets-leaner-meaner-cloudier/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/10/qlik-sense-cloud.jpg</image:loc><image:title>qlik-sense-cloud</image:title><image:caption>Soon to join the Qlik Sense Cloud is a Business level service offering scheduled data refreshes, cloud connectivity and user and group access controls.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/10/chip-virnig.jpg</image:loc><image:title>chip-virnig</image:title><image:caption>Qlik's new board member from Thoma Bravo, Chip Virnig, made it clear the private equity firm leaves it to existing management teams to run its many investments.</image:caption></image:image><lastmod>2016-10-24T20:16:31+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/10/10/salesforce-einstein-dream-versus-reality/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/10/salesforce-einstein-marchitecture.jpg</image:loc><image:title>salesforce-einstein-marchitecture</image:title></image:image><lastmod>2017-01-10T15:45:37+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/10/03/strata-hadoop-world-highlights-long-term-bets-on-cloud/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/10/cloudera-cloud-partners.jpg</image:loc><image:title>cloudera-cloud-partners</image:title><image:caption>Cloudera eases software deployment and promises portability across the leading public clouds, but customers also want managed services options.</image:caption></image:image><lastmod>2016-10-03T17:39:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/09/20/oracle-vs-salesforce-on-ai-what-to-expect-when/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/09/adaptive-intelligent-app-roadmap.jpg</image:loc><image:title>adaptive-intelligent-app-roadmap</image:title><image:caption>Oracle Adaptive Intelligent Apps are powered by the Web-scale Oracle Data Cloud and the company's massive cloud compute capacity.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/09/salesforce-einstein-ai.jpg</image:loc><image:title>salesforce-einstein-ai</image:title><image:caption>Salesforce Einstein is designed to enhance existing Salesforce apps. It will start with 17 AI features added to five clouds by fall and 35 features in eight clouds by February.</image:caption></image:image><lastmod>2017-01-10T15:49:19+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/09/14/teradata-amps-up-cloud-and-consulting-offerings/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/09/teradata-customer-journey-analytic-solution.jpg</image:loc><image:title>teradata-customer-journey-analytic-solution</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/09/teradata-cloud-options.jpg</image:loc><image:title>teradata-cloud-options</image:title></image:image><lastmod>2017-06-21T11:34:16+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/09/01/hewlett-packard-enterprise-powers-machine-learning-apps-revs-vertica-database/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/09/hpe-haven-ondemand-combinations.jpg</image:loc><image:title>HPE Haven OnDemand Combinations</image:title><image:caption>Haven OnDemand Combinations gives developers the ability to chain together APIs and invoke them through a single API call.</image:caption></image:image><lastmod>2016-09-01T21:12:01+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/08/26/sap-reportedly-buying-altiscale-to-power-big-data-services/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/08/altiscale.jpg</image:loc><image:title>Altiscale</image:title><image:caption>Altiscale combines Hadoop and Spark cloud services with integrated data ingest, prep and analytics as well as supporting services.</image:caption></image:image><lastmod>2016-08-26T14:21:13+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/07/29/workday-plans-for-platfora-revealed/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/07/platfora-joins-workday.jpg</image:loc><image:title>Platfora Joins Workday</image:title></image:image><lastmod>2016-07-29T12:02:08+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/07/22/workday-deal-for-platfora-leaves-questions/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/07/platfora.jpg</image:loc><image:title>Platfora</image:title><image:caption>Platfora is focused heavily on customer behavior analysis, with examples including path and funnel analysis, attribution and customer segmentation. </image:caption></image:image><lastmod>2016-07-23T22:06:25+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/07/14/democratize-the-data-lake-make-big-data-accessible/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/07/democratize-big-data.jpg</image:loc><image:title>Democratize Big Data</image:title></image:image><lastmod>2016-07-14T20:39:18+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/06/09/oracle-data-cloud-powers-pinterest-goes-mobile/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/06/mobile-media-share-according-to-oracle.jpg</image:loc><image:title>Mobile Media Share According to Oracle</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/06/pinterest-oracle.jpg</image:loc><image:title>Pinterest-Oracle</image:title><image:caption>Pinterest president Tim Kendall, left, interviewed by Oracle Data Cloud senior VP Eric Roza at the June 7 Oracle Data Cloud Summit in New York.</image:caption></image:image><lastmod>2016-07-12T16:22:58+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/07/01/hadoop-summit-2016-spotlights-enterprise-innovation-iot-use-cases/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/07/azure-cloud-priorities.jpg</image:loc><image:title>Azure Cloud Priorities</image:title><image:caption>Microsoft executive Joseph Sirosh talked about the "unreasonable effectiveness" of the new ACID -- algorithms, cloud, IoT and data -- to tackle big problems. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/07/ford-connected-car.jpg</image:loc><image:title>Ford Connected Car</image:title><image:caption>Ford detailed its Hadoop-based connected car data platform at Hadoop Summit and explained and how it works with the FordPass mobile app.</image:caption></image:image><lastmod>2016-07-05T19:00:15+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/06/17/teradata-disrupts-self-with-cloud-push/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/06/teradata-test-results-vs-aws-redshift.jpg</image:loc><image:title>Teradata Test Results vs. AWS Redshift</image:title><image:caption>In a Teradata test, the same queries were run on two-node instances of Teradata on AWS and Azure and on two-node and eight-node instances of Redshift on AWS. After 39 minutes, Teradata had completed tens of thousands of queries while Redshift completed 53 queries on two nodes and 310 queries on eight nodes.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/06/teradata-test-vs-amazon-redshift.jpg</image:loc><image:title>Teradata test Vs. Amazon Redshift</image:title><image:caption>In a test performed by Teradata, the same queries were run on two-node instances of Teradata on AWS and Azure and on two-node and eight-node instances of Redshift on AWS. After 39 minutes, Teradata had completed tens of thousands of queries while Redshift completed 53 (on two nodes) and 310 (on eight nodes). </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/06/intelliflex.jpg</image:loc><image:title>IntelliFlex</image:title><image:caption>Where Teradata previously had at least nine separate platforms to handle different workloads, a new IntelliFlex architecture will narrow that to two platforms while giving customers flexibility to support diverse workloads simultaneously.</image:caption></image:image><lastmod>2016-06-23T22:31:35+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/05/26/ibm-watson-team-marks-progress-previews-next-steps/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/05/ibm-watson-progress.jpg</image:loc><image:title>IBM Watson Progress</image:title></image:image><lastmod>2016-05-26T14:48:21+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/05/20/sap-feels-your-pain-storms-ahead-on-new-apps-consumer-insights/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/05/sap-executives.jpg</image:loc><image:title>SAP Executives</image:title></image:image><lastmod>2016-05-22T21:10:33+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/05/13/anaplan-scales-platform-prepares-for-prediction/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/05/anaplan-app-hub.jpg</image:loc><image:title>Anaplan App Hub</image:title></image:image><lastmod>2016-05-16T13:04:32+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/05/05/qlik-extends-its-platform-as-cloud-disruption-looms/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/05/qlik-portfolio.jpg</image:loc><image:title>Qlik Portfolio</image:title></image:image><lastmod>2016-05-06T13:36:44+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/04/22/sas-goes-cloud-but-will-customers-follow/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/04/sas-viya-q3-launch.jpg</image:loc><image:title>SAS Viya Q3 Launch</image:title></image:image><lastmod>2017-01-18T08:04:26+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/04/20/hadoop-hits-10-years-growing-up-fast/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/04/hadoop-10-years.jpg</image:loc><image:title>Hadoop 10 Years</image:title></image:image><lastmod>2016-04-20T18:08:30+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/03/28/sap-bets-on-cloud-for-analytics-bpc-optimized-for-s4-hana/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/03/sap-analytics-strategy.jpg</image:loc><image:title>SAP Analytics Strategy</image:title></image:image><lastmod>2016-03-28T13:43:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/03/23/cloudera-takes-to-the-cloud-highlights-industry-use-cases/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/03/cloudera-executives.jpg</image:loc><image:title>Cloudera Executives</image:title><image:caption>Cloudera executives (left to right) Doug Cutting, chief architect, Mike Olson, chief strategy officer, and Tom Reilly, CEO, at Cloudera Analyst Day, March 22, 2016.</image:caption></image:image><lastmod>2016-03-24T20:05:38+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/03/14/dos-and-donts-in-hybrid-cloud-data-warehouse-deployment/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/03/hybrid-deployment-advice-for-the-data-warehouse.jpg</image:loc><image:title>Hybrid Deployment Advice for the Data Warehouse</image:title><image:caption>Capacity planning and software version consistency are among the key concerns in hybrid cloud data warehouse deployments.</image:caption></image:image><lastmod>2016-03-14T16:38:22+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/03/02/hortonworks-connected-data-platforms-more-than-sum-of-parts/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/03/hortonworks-connected-data-platforms.jpg</image:loc><image:title>Hortonworks Connected Data Platforms</image:title></image:image><lastmod>2016-03-02T19:03:23+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/02/04/ibm-adds-yet-more-cloud-data-services-to-its-portfolio/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/02/ibm-bluemix-data-and-analytics-services.jpg</image:loc><image:title>IBM Bluemix Data and Analytics Services</image:title><image:caption>Data and Analytics services are just one subset of services in the IBM Bluemix cloud platform catalog.</image:caption></image:image><lastmod>2016-02-04T15:00:33+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/01/29/10-tips-from-the-chief-analytics-officer-forum/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/01/capitalone-rich-fairbank.jpg</image:loc><image:title>CapitalOne Rich Fairbank</image:title><image:caption>Testing is essential to innovation, as proven by leading companies including Capital One and Amazon.</image:caption></image:image><lastmod>2016-02-01T01:14:29+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/01/20/oracle-data-cloud-the-data-as-a-service-differentiator/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/01/oracle-data-cloud.jpg</image:loc><image:title>Oracle Data Cloud</image:title><image:caption>The Oracle Data Cloud currently addresses marketing use cases, but the company plans to address sales, service, commerce, loyalty and other data-enrichment opportunities.</image:caption></image:image><lastmod>2016-01-22T22:59:20+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2016/01/08/salesforce-reboots-wave-analytics-preps-iot-cloud/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2016/01/salesforce-wave.jpg</image:loc><image:title>Salesforce Wave</image:title></image:image><lastmod>2016-01-10T22:41:53+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/12/28/top-5-data-to-decisions-news-trends-of-2015/</loc><lastmod>2016-01-10T20:14:19+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/12/08/qlik-unveils-qlikview-12-qlik-sense-cloud-roadmap/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/12/qlik-qix-associative-analytics-engine.jpg</image:loc><image:title>Qlik QIX Associative Analytics Engine</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/12/qlik-analytics-platform.jpg</image:loc><image:title>Qlik Analytics Platform</image:title></image:image><lastmod>2015-12-08T20:55:29+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/12/03/informatica-takes-comprehensive-approach-to-big-data-management/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/12/informatica-big-data-crosses-chasm.jpg</image:loc><image:title>Informatica Big Data Crosses Chasm</image:title></image:image><lastmod>2016-02-29T13:30:13+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/11/18/ibm-analyst-forum-a-tale-of-two-titans/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/11/ibm-insight-cloud-services.jpg</image:loc><image:title>IBM Insight Cloud Services</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/11/ibm-analytics-portfolio.jpg</image:loc><image:title>IBM Analytics Portfolio</image:title></image:image><lastmod>2015-11-19T22:46:16+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/11/02/oracle-open-world-2015-three-important-cloud-services/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/11/oracle-data-cloud-5.jpg</image:loc><image:title>Oracle Data Cloud 5</image:title><image:caption>Oracle Data Cloud offers data from more than 1,500 specialty retailers and 30 supermarket loyalty cards.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/11/visual-library.jpg</image:loc><image:title>Oracle Data Visualization Cloud Service</image:title><image:caption>The Oracle Data Visualization Cloud Service offers 18 charting options and a palate of colors and shapes for depicting data.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/11/oracle-big-data-cloud-portfolio-ii.jpg</image:loc><image:title>Oracle Big Data Cloud Portfolio II</image:title><image:caption>The Oracle Cloud Platform for Big Data combines platforms (database, Hadoop, NoSQL) and analysis options.</image:caption></image:image><lastmod>2015-11-03T23:06:15+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/28/ibm-insight-2015-spotlights-cloud-services-spark-watson-analytics-upgrades/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/ibm-insight-cloud-services.jpg</image:loc><image:title>IBM Insight Cloud Services</image:title><image:caption>IBM Insight Cloud Services combine data and contextual analysis aimed at delivering actionable insights.</image:caption></image:image><lastmod>2015-10-29T14:12:46+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/21/sap-teched-inside-cloud-for-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/sap-cloud-for-analytics-predict.jpg</image:loc><image:title>SAP Cloud For Analytics - Predict</image:title><image:caption>SAP Cloud for Analytics will include components for data-discovery and visualization, planning and predictive analytics.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/sap-cloud-for-analytics-visualize.jpg</image:loc><image:title>SAP Cloud For Analytics - Visualize</image:title><image:caption>SAP Cloud for Analytics will include components for data discovery and visualization, planning and predictive analytics.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/sap-cloud-for-analytics.jpg</image:loc><image:title>SAP Cloud For Analytics</image:title></image:image><lastmod>2015-10-23T18:34:55+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/19/teradata-puts-aster-on-hadoop-adds-listener-for-streaming-data/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/teradata-listener.jpg</image:loc><image:title>Teradata Listener</image:title><image:caption>Teradata Listener is designed to capture and distribute data in streaming scenarios including IoT use cases.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/teradata-listener-sources.jpg</image:loc><image:title>Teradata Listener Sources</image:title><image:caption>Teradata Listener is designed to capture and distribute data in streaming scenarios including IoT use cases.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/aster-on-hadoop.jpg</image:loc><image:title>Aster on Hadoop</image:title><image:caption>With Teradata Aster soon able to run on Hadoop, customers won't need separate infrastructure to gain Aster's diverse analytical capabilities.</image:caption></image:image><lastmod>2015-10-19T21:19:37+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/15/sap-highlights-s4-hana-finance-cloud-for-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/sap-s4hana-finance.jpg</image:loc><image:title>SAP S4HANA Finance</image:title><image:caption>The home page of S/4HANA Finance, formerly Simple Finance, surfaces notable key performance indicators available for drill-down analysis. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/sap-cloud-for-analytics-plan.jpg</image:loc><image:title>SAP Cloud For Analytics - Plan</image:title><image:caption>SAP Cloud for Planning is morphing to become the Planning component of SAP Cloud For Analytics</image:caption></image:image><lastmod>2015-10-15T20:12:07+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/08/aws-reinvent-five-takeaways-on-new-services/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/aws-schema-conversion-tool.jpg</image:loc><image:title>AWS Schema Conversion Tool</image:title><image:caption>New AWS Database Migration and Schema Conversion services are both intended to ease database moves, but schema conversion is the tougher task. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/aws-snowball.jpg</image:loc><image:title>AWS Snowball</image:title><image:caption>AWS Snowball is a shippable appliance designed to move 50 terabytes at a time to AWS.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/10/quickinsight-visualizations.jpg</image:loc><image:title>QuickInsight Visualizations</image:title><image:caption>QuickInsight is a data-analysis, visualization and dashboarding suite introduced at AWS Reinvent. It promises ease of use and low costs starting at $9 per user, per month.</image:caption></image:image><lastmod>2015-10-08T23:56:05+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/06/couchbase-intros-4-0-release-highlights-enterprise-wins/</loc><lastmod>2015-10-08T12:54:57+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/10/01/strata-hadoop-world-report-spark-real-time-in-the-spotlight/</loc><lastmod>2015-10-02T14:37:15+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/09/28/cloudera-introduces-recordservice-for-security-kudu-for-streaming-data-analysis/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/09/cloudera-recordservice-kudu.jpg</image:loc><image:title>Cloudera RecordService &amp; Kudu</image:title><image:caption>Cloudera introduced RecordService for data-access control and the columnar Kudu storage engine for real-time analytics ahead of Strata + Hadoop World 2015 in New York.</image:caption></image:image><lastmod>2015-09-29T12:56:40+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/09/17/salesforce-iot-cloud-awaits-thunder-real-time-engine/</loc><lastmod>2015-09-28T12:13:55+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/09/25/tata-consultancy-services-analyst-day-what-stands-out/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/09/common-themes-connecting-a-digial-world.jpg</image:loc><image:title>Common Themes Connecting A Digial World</image:title><image:caption>These are among the common themes TCS identified as moving us toward digital enterprises.</image:caption></image:image><lastmod>2015-09-25T19:12:27+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/09/16/salesforce-makes-wave-analytics-more-accessible-affordable/</loc><lastmod>2015-09-16T14:16:08+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/09/10/alteryx-does-self-service-big-data-processing-too/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/09/alteryx-analytics-10.jpg</image:loc><image:title>Alteryx Analytics 10</image:title><image:caption>The Alteryx Analytics 10.0 release features a simplified interface aimed at speeding adoption by trial customers.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/09/alteryx.jpg</image:loc><image:title>Alteryx</image:title><image:caption>From source to app, the Alteryx Desktop gives analysts a tool for building self-service data-prep-and-analysis workflows.</image:caption></image:image><lastmod>2015-09-10T16:41:03+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/09/02/hadoop-progress-report-3-emerging-use-cases/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/09/hadoop-business-outcomes-hortonworks.jpg</image:loc><image:title>Hadoop Business Outcomes - Hortonworks</image:title><image:caption>Hadoop opportunities are moving on from IT cost reduction. These three use cases are driving "transformational" breakthroughs, according to Hortonworks.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/09/hadoop-business-outcomes.jpg</image:loc><image:title>Hadoop Business Outcomes</image:title><image:caption>Hadoop opportunities are moving on from IT cost reduction. These three use cases are driving "transformational" breakthroughs, according to Hortonworks.</image:caption></image:image><lastmod>2015-09-03T01:00:29+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/08/12/cloud-analytics-six-tips-for-success/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/08/google-cloud-platform.jpg</image:loc><image:title>Google Cloud Platform</image:title><image:caption>Google's case for bringing data analysis into the cloud is sussinct: "Focus on insight, not infrastructure."</image:caption></image:image><lastmod>2015-08-14T13:02:47+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/08/05/looking-for-innovators-and-disruptors/</loc><lastmod>2015-08-05T16:46:23+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/07/29/self-service-data-prep-options-proliferate/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/snaplogic-sub-pipeline-preview.jpg</image:loc><image:title>SnapLogic Sub-Pipeline Preview</image:title><image:caption>SnapLogic hides the messy details of integration inside reusable "Snaps" and sub-pipelines that non-experts can assemble into new data pipelines. A sub-pipeline preview feature lets admins inspect the steps inside a larger data pipeline. </image:caption></image:image><lastmod>2015-08-02T11:02:36+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/07/22/cloud-analytics-whats-driving-growth/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/tableau-online-data-growth-rates1.jpg</image:loc><image:title>Tableau Online Data Growth Rates</image:title><image:caption>On-premises sources account for the majority of data analyzed in Tableau Online, but cloud sources such as Amazon Redshift and Google BigQuery are growing more quickly.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/tableau-online-data-growth-rates.jpg</image:loc><image:title>Tableau Online Data Growth Rates</image:title><image:caption>On-premises sources account for the majority of data analyzed in Tableau Online, but cloud sources such as Amazon Redshift and Google BigQuery are growing more quickly.</image:caption></image:image><lastmod>2015-07-22T21:46:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/07/14/sas-factory-miner-industrializes-predictive-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/sas-factory-miner-deploy.jpg</image:loc><image:title>SAS Factory Miner Deploy</image:title><image:caption>SAS Factory Miner is integrated with the vendor's larger ecosystem, including (high-scale database and Hadoop) data sources and deployment options.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/sas-factory-miner-deployment.jpg</image:loc><image:title>SAS Factory Miner Deployment</image:title><image:caption>SAS Factory Miner is integrated with the vendor's larger ecosystem, including (high-scale database and Hadoop) data sources and deployment options. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/sas-factory-miner.jpg</image:loc><image:title>SAS Factory Miner</image:title><image:caption>SAS Factory Miner is designed to automatically train, test and identify best-fit predictive models for hundreds of segments with just a few clicks.</image:caption></image:image><lastmod>2015-07-16T13:59:11+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/07/14/apply-for-a-supernova-award-recognizing-leaders-in-digital-business/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/supernova.jpg</image:loc><image:title>SuperNova</image:title></image:image><lastmod>2015-07-15T01:50:33+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/07/07/sentiment-analysis-the-new-state-of-the-art/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/07/sentiment-analysis.jpg</image:loc><image:title>Sentiment Analysis</image:title></image:image><lastmod>2015-07-08T18:42:01+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/30/genpact-brings-data-driven-decisions-to-scale/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/genpact-intelligent-internet-of-things.jpg</image:loc><image:title>Genpact Intelligent Internet of Things</image:title><image:caption>Genpact's take on potential value drivers in Internet of Things application scenarios. </image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/genpact-intelligent-operations.jpg</image:loc><image:title>Genpact Intelligent Operations</image:title><image:caption>Genpact touts its Intelligent Operations apporach as reimagining business processes with analytics and technology so they can be operationalized at scale.</image:caption></image:image><lastmod>2015-07-01T18:14:22+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/23/oracle-paas-6-important-developments-for-data/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/oracle-cloud-platform.jpg</image:loc><image:title>Oracle Cloud Platform</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/oracle-cloud-platform-overview1.jpg</image:loc><image:title>Oracle Cloud Platform Overview</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/oracle-cloud-platform-overview.jpg</image:loc><image:title>Oracle Cloud Platform Overview</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/oracle-cloud-data-management-analytics.jpg</image:loc><image:title>Oracle Cloud Data Management &amp; Analytics</image:title><image:caption>This analysis focuses in on data-management and analytics developments tied to Oracle's June 2015 PaaS announcements.</image:caption></image:image><lastmod>2015-08-03T12:41:37+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/22/salesforce-sales-wave-analytics-full-menu-or-a-la-carte/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/salesforce-sales-wave.jpg</image:loc><image:title>Salesforce Sales Wave</image:title><image:caption>A sales forecast report served up by the Salesforce Sales Wave app set for release later this year</image:caption></image:image><lastmod>2015-06-23T14:24:41+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/29/salesforce-starts-wave-for-big-data/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/salesforce-wave-for-big-data.jpg</image:loc><image:title>Salesforce Wave For Big Data</image:title><image:caption>A fictional Salesforce Wave for Big Data analysis in which weather and sensor data is mashed up with a bike-share firm's CRM data.</image:caption></image:image><lastmod>2015-06-22T11:10:45+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/17/spark-on-fire-why-all-the-hype/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/spark-2015-vision.jpg</image:loc><image:title>Spark 2015 Vision</image:title><image:caption>Spark offers unified access to data, in-memory performance and plentiful processing and analysis options.</image:caption></image:image><lastmod>2015-06-17T21:14:07+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/15/ibm-joins-apache-spark-bandwagon-and-coopetition/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/spark-summit-20151.jpg</image:loc><image:title>Spark Summit 2015</image:title><image:caption>The big news on day one of Spark Summit was news of IBM's embrace of the open source platform.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/spark-summit-2015.jpg</image:loc><image:title>Spark Summit 2015</image:title></image:image><lastmod>2015-06-15T18:42:56+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/10/hadoop-enters-awkward-teenage-years/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/img_2059.jpg</image:loc><image:title>IMG_2059</image:title><image:caption>Hortonworks CEO Rob Bearden kicks off Hadoop Summit 2015.</image:caption></image:image><lastmod>2015-06-10T12:36:08+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/08/teradata-backs-presto-evolves-big-data-strategy/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/teradata-querygrid.jpg</image:loc><image:title>Teradata QueryGrid</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/teradata-presto-support.jpg</image:loc><image:title>Teradata Presto Support</image:title><image:caption>Teradata introduced supported Presto SQL-on-Hadoop software on Monday, and it's contributing development work to the open source project.</image:caption></image:image><lastmod>2015-06-08T14:35:23+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/06/02/mongodb-adds-bi-tie-gears-up-for-growth/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/06/img_1792.jpg</image:loc><image:title>IMG_1792</image:title><image:caption>Dev Ittycheria, MongoDB's president &amp; CEO, promises faster innovation and a stronger company at MongoDB World 2015.</image:caption></image:image><lastmod>2015-06-02T18:01:02+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/26/alteryx-pioneers-self-service-data-prep-and-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/alteryx-president-george-mathew.jpg</image:loc><image:title>Alteryx President George Mathew</image:title><image:caption>Alteryx President and COO Georg Mathew highlights coming in-database connections at Inspire15.</image:caption></image:image><lastmod>2015-05-26T13:22:08+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/13/informatica-sets-new-goals-for-its-growing-data-platform/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/informatica-world-2015.jpg</image:loc><image:title>Informatica World 2015</image:title><image:caption>Informatica CEO Sohaib Abbasi details growing data challenges as the focus shifts from transactions to engagement.</image:caption></image:image><lastmod>2015-05-22T03:25:32+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/19/anaplan-scales-up-adds-more-apps/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/analplan-ceo-frederic-laluyaux.jpg</image:loc><image:title>Analplan CEO Frederic Laluyaux</image:title><image:caption>Anaplan CEO Frederic Laluyaux highlights fast, one-click provisioning of planning apps at AnaplanHub15.</image:caption></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/img_1661.jpg</image:loc><image:title>IMG_1661</image:title></image:image><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/img_1686.jpg</image:loc><image:title>IMG_1686</image:title></image:image><lastmod>2015-12-22T13:51:55+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/04/29/data-to-decisions-are-you-missing-something-big/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/investigation.jpg</image:loc><image:title>investigation</image:title></image:image><lastmod>2015-05-10T20:10:25+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/04/29/microsoft-steps-up-to-cloud-iot-expectations/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/fujitsu-eco-management-dashboard.jpg</image:loc><image:title>Fujitsu Eco-Management Dashboard</image:title><image:caption>Fujitsu's Azure-powered Eco-Management Dashboard.</image:caption></image:image><lastmod>2015-05-10T20:07:49+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/04/29/hello-world/</loc><lastmod>2015-05-10T19:44:46+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/05/microsoft-sql-server-2016-first-take/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/microsoft-sql-server-2016-in-memory-oltp.jpg</image:loc><image:title>Microsoft SQL Server 2016 In-Memory OLTP</image:title></image:image><lastmod>2015-05-08T19:49:11+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/06/ibm-watson-gets-ready-to-scale/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/ginni-rometty-ibm.jpg</image:loc><image:title>Ginni Rometty - IBM</image:title><image:caption>IBM CEO Ginni Rometty keynotes at the May 5 World of Watson event in Brooklyn, NY.</image:caption></image:image><lastmod>2015-05-07T19:56:47+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/05/07/sap-taps-hadoop-spark-for-iot-innovation/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/05/img_1533.jpg</image:loc><image:title>Berndt Leukert - SAP</image:title><image:caption>SAP's Berndt Leukert discusses new uses of Hadoop and Spark at Sapphire.</image:caption></image:image><lastmod>2015-05-07T18:41:59+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/04/30/sas-takes-next-step-to-democratize-analytics/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/sas-visual-analytics.jpg</image:loc><image:title>SAS Visual Analytics</image:title></image:image><lastmod>2015-05-06T19:22:55+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com/2015/04/30/qlik-morphs-into-a-platform-vendor/</loc><image:image><image:loc>https://dhenschen.files.wordpress.com/2015/04/qlik-analytic-platform.jpg</image:loc><image:title>Qlik Analytic Platform</image:title><image:caption>Anthony Deighton, CTO, introduces the Qlik Analytics Platform.</image:caption></image:image><lastmod>2015-05-06T19:21:15+00:00</lastmod><changefreq>monthly</changefreq></url><url><loc>https://doughenschen.com</loc><changefreq>daily</changefreq><priority>1.0</priority><lastmod>2020-03-05T19:43:38+00:00</lastmod></url></urlset>
