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Hortonworks Update Your Apache Hadoop GTM Partner

Hortonworks Update Your Apache Hadoop GTM Partner . John Kreisa – VP S trategic Marketing December 2013. Who Is Hortonworks?. Hortonworks & Hadoop: A Long History. Apache Project Established. Yahoo! begins to Operate at scale. Hortonworks Data Platform. 2013. 2004. 2006. 2008.

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Hortonworks Update Your Apache Hadoop GTM Partner

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  1. Hortonworks Update Your Apache Hadoop GTM Partner

    John Kreisa – VP Strategic Marketing December 2013
  2. Who Is Hortonworks?
  3. Hortonworks & Hadoop: A Long History Apache Project Established Yahoo! begins to Operate at scale HortonworksData Platform 2013 2004 2006 2008 2010 2012 EnterpriseHadoop Focus on INNOVATION 2005: Yahoo! creates Hadoop 2008: Yahoo team extends focus to operations to support multiple projects & growing clusters Focus on OPERATIONS STABILITY 2011: Hortonworks created to focus on “Enterprise Hadoop“. Starts with 24 key Hadoop engineers from Yahoo

  4. Why Hortonworks?

  5. Hortonworks Model & Strategy Enable Apache Hadoop to become an enterprise viable data platform Provide a 100% open source product distribution of Hadoop with world class Enterprise support Drive all software development and releases through the core Apache projects Accelerate market formation Enable enterprises to deploy at scale Enable ecosystem adoption Create pull market with key strategic partners
  6. What We Sell We develop, distribute and support the ONLY 100% open source Enterprise Hadoop distribution Support Flexible support subscription offerings Delivered and backed by Hadoop experts Services Expert consulting services Programs designed to transfer knowledge and ease implementation Training Transferring our Hadoop expertise to you Expert source for Apache Hadoop training and certification
  7. Strategic Partners Relying on Hortonworks Teradata Portfolio for Hadoop Seamless data access between Teradata and Hadoop (SQL-H) Simple management & monitoring with Viewpoint integration Flexible deployment options HDInsight & HDP for Windows Only Hadoop Distribution for Windows Azure & Windows Server Native integration with SQL Server, Excel, and System Center Extends Hadoop to .NET community Instant Access + Infinite Scale SAP can assure their customers they are deploying an SAP HANA + Hadoop architecture fully supported by SAP Enables analytics apps (BOBJ) to interact with Hadoop Complete Portfolio for Hadoop UDA Diagram Appliances
  8. Hortonworks Partner Eco-System 300+
  9. Driving Our Innovation Through Apache Total Net Lines Contributed to Apache Hadoop Hortonworks mission is to enable your modern data architecture by delivering one Enterprise Hadoop that deeply integrates with your data center technologies End Users 449,768lines Total Committers Across Apache Projects 614,041 lines 63 total 147,933 lines 10 Others 21 LinkedIn: 3 IBM: 3 Facebook: 5 Yahoo: 10 Cloudera: 7 Total Number of Committers to Apache Hadoop
  10. HDP: Enterprise HadoopPlatform Hortonworks Data Platform (HDP) The ONLY 100% open source and complete platform Integrates full range of enterprise-ready services Provides tools for operators, developers, and data workers Certified and tested at scale Engineered for deep ecosystem interoperability OPERATIONAL SERVICES DATASERVICES PIG HIVE & HCATALOG AMBARI FLUME HBASE FALCON* SQOOP OOZIE LOAD & EXTRACT HADOOP CORE MAP TEZ REDUCE NFS YARN WebHDFS HDFS PLATFORM SERVICES KNOX* Enterprise ReadinessHigh Availability, Disaster Recovery, Rolling Upgrades, Security and Snapshots HORTONWORKS DATA PLATFORM (HDP) OS/VM Cloud Appliance

  11. Hortonworks

    Highlights and Sales Plays
  12. HOW: How do we Go To Market? We pursue 2 distinct sales plays: Application-oriented Net new analytic applications based on new types of data Architecture-driven The right workload, the right place
  13. An Emerging Data Architecture APPLICATIONS Custom Applications Packaged Applications Business Analytics OPERATIONAL TOOLS DEV & DATA TOOLS MANAGE & MONITOR BUILD & TEST DATA SYSTEM REPOSITORIES RDBMS EDW MPP SOURCES Existing Sources (CRM, ERP, Clickstream, Logs) Emerging Sources (Sensor, Sentiment, Geo, Unstructured)
  14. Drivers of Hadoop Adoption (Sales Play #1) New Business Applications From NEW types of Data (or existing types for longer)
  15. Most Common NEW TYPES OF DATA SentimentUnderstand how your customers feel about your brand and products – right now ClickstreamCapture and analyze website visitors’ data trails and optimize your website Sensor/MachineDiscover patterns in data streaming automatically from remote sensors and machines GeographicAnalyze location-based data to manage operations where they occur Server LogsResearch logs to diagnose process failures and prevent security breaches Unstructured (txt, video, pictures, etc..)Understand patterns in files across millions of web pages, emails, and documents Value
  16. 20 Business Applications of Hadoop
  17. Creating Opportunity Data: ETL, Social, Sensor & Clickstream Unified 360° View of the Customer Problem Acquisitions & data explosion fragment view of customer Recent acquisitions and proliferation of types of data caused fragmented view of customers Data exists across multiple applications & data stores Semi-structured data: social, sensors & networked devices Difficult to integrate structured, semi-structured & unstructured data sets from so many distinct sources Solution HDP data lake delivers 360° unified household View Stable environment for exploring and enriching the data Store all of the data and retain it for longer Parse on demand: no need to pre-parse data before loading Analysis on demand: allows analysts to explore raw data and find unexpected truths in the data Telecom Major telecom provider, offering data networks& services > $100B in revenue > 200K employees
  18. Improving Efficiency Data: Sensor Sensor Data Monitors Buildings for Efficiency Problem Managing service calls on HVAC in commercial buildings More than 70K systems in buildings around US Systems transmits data, but mostly kept on site or discarded Servicing costs high, due to limited data on each unit Data on work orders, sales orders, service orders stored in different databases and not correlated Solution Data consolidation and predictive analytics for efficiency Raw data from HVAC sensors will land in HDP, along with work order, sales order and service call data System will predict component failures for: Product upsell  increased revenue Service call efficiency  reduced costs Management insight for a new service offering Building Management Building efficiency and power solutions >$420B in revenue >140k employees
  19. Drivers of Hadoop Adoption (Sales Play #2) A Modern Data ArchitectureComplement your existing data systems: the right workload in the right place New Business Applications Architectural
  20. Keep Existing Data Around Longer Online archive Data that was once moved to tape can now be queried to understand long term trends Compliance retention Industry specific requirements for retentionof data Combine with external historical data sources Weather, survey, research, purchased, etc. Value
  21. A Modern Data Architecture Applied APPLICATIONS Custom Applications Packaged Applications Business Analytics Complement data systems Right workload right place DATA SYSTEM REPOSITORIES RDBMS EDW MPP SOURCES Existing Sources (CRM, ERP, Clickstream, Logs) Emerging Sources (Sensor, Sentiment, Geo, Unstructured)
  22. Requirements for Hadoop Adoption 3 Requirements for Hadoop’s Role in the Modern Data Architecture IntegratedInteroperable with existing data center investments Key ServicesPlatform, operational and data services essential for the enterprise SkillsLeverage your existing skills: development, operations, analytics
  23. Requirements for Enterprise Hadoop 1 Key ServicesPlatform, Operational and Data services essential for the enterprise OPERATIONAL SERVICES DATASERVICES PIG HIVE & HCATALOG AMBARI FLUME HBASE FALCON* SQOOP OOZIE 2 LOAD & EXTRACT SkillsLeverage your existing skills: development, analytics, operations CORE MAP TEZ REDUCE NFS YARN WebHDFS HDFS PLATFORM SERVICES KNOX* Enterprise ReadinessHigh Availability, Disaster Recovery, Rolling Upgrades, Security and Snapshots 3 IntegratedEngineered with existing data center investments HORTONWORKS DATA PLATFORM (HDP) OS/VM Cloud Appliance
  24. Patterns for Hadoop Applications 1 Key ServicesPlatform, operational and data services essential for the enterprise DEVELOP COLLECT PROCESS BUILD 2 SkillsLeverage your existing skills: development, analytics, operations ANALYZE EXPLORE QUERY DELIVER OPERATE PROVISION MANAGE MONITOR 3 IntegrationInteroperable with existing data center investments
  25. Familiar and Existing Tools 1 Key ServicesPlatform, operational and data services essential for the enterprise DEVELOP COLLECT PROCESS BUILD 2 SkillsLeverage your existing skills: development, analytics, operations ANALYZE EXPLORE QUERY DELIVER BusinessObjects BI OPERATE PROVISION MANAGE MONITOR 3 IntegrationInteroperable with existing data center investments
  26. Requirements for Enterprise Hadoop Integrated with Applications Business Intelligence, Developer IDEs, Data Integration Systems Data Systems & Storage, Systems Management Platforms Operating Systems, Virtualization, Cloud, Appliances APPLICATIONS Custom Applications Packaged Applications Business Analytics OPERATIONAL TOOLS DEV & DATA TOOLS MANAGE & MONITOR BUILD & TEST DATA SYSTEM REPOSITORIES RDBMS EDW MPP 3 IntegrationEngineered with existing data center investments SOURCES Existing Sources (CRM, ERP, Clickstream, Logs) Emerging Sources (Sensor, Sentiment, Geo, Unstructured)
  27. One Hadoop: Deep Integration APPLICATIONS DEV & DATATOOLS OPERATIONAL TOOLS DATA SYSTEM RDBMS EDW MPP HANA BusinessObjects BI INFRASTRUCTURE SOURCES Existing Sources (CRM, ERP, Clickstream, Logs) Emerging Sources (Sensor, Sentiment, Geo, Unstructured)
  28. What’s in it for You? Capturing and processing more data in Hadoop Means more data can be stored and analyzed Expand your relevancy in big data conversations A Big Data discussion can bring you into new conversations Better aligned strategy of enable vs. compete No competitive query capabilities No competitive search capabilities Leverage complementary partner relationships Big, enterprise players relying on Hortonworks New opportunities/footprint Ride open source tail wind Significant momentum around open source you can leverage Hortonworks understands open source model and value to ecosystem
  29. Connect With the Hadoop CommunityWe employ a large number of Apache project committers & innovators so that youare represented in the open source community Avoid Vendor LockHortonworks Data Platform remain as close to the open source trunk as possible and is developed 100% in the open so youare never locked in The partners you rely on, rely on HortonworksWe work with partners to deeply integrate Hadoop with data center technologies so youcan leverage existing skills and investments Certified for the EnterpriseWe engineer, test and certify the Hortonworks Data Platform at scale to ensure reliability and stability yourequire for enterprise use Support from the expertsWe provide the highest quality of support for deploying at scale. Youare supported by hundreds of years of Hadoop experience Hortonworks: The Value of “Open” for You Visit www.hortonworks.com Try www.hortonworks.com/sandbox Follow www.linkedin.com/company/hortonworks twitter.com/hortonworks
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