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Hortonworks<br />Eric Baldeschwieler – CEO<br />twitter: @jeric14 (@hortonworks)<br />Formerly VP Hadoop Engineering @Yaho...
About Hortonworks<br />Mission: Revolutionize and commoditize the storage and processing of big data via open source<br />...
Credentials<br />Technical: key architects and committers from Yahoo! Hadoop engineering team<br />Highest concentration o...
Hortonworks and Yahoo!<br />Yahoo! is a development partner<br />Leverage large Yahoo! development, testing & operations t...
Current State of Adoption<br />Technology & Knowledge Gaps Prevent Apache Hadoop from Reaching Full Potential<br />Custome...
Technology is hard to install, manage & use
Technology lacks enterprise robustness
Requires significant investment in technical staff or consulting
Hard to find & hire experienced developer & operations talent
Early in vendor adoption lifecycle
Hadoop is hard to integrate and extend
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Hortonworks Hadoop summit 2011 keynote - eric14

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Eric Baldeschwieler's Hadoop Summit 2011 keynote announcing the formation of Hortonworks and introducing our roadmap

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Transcript of "Hortonworks Hadoop summit 2011 keynote - eric14"

  1. 1. Hortonworks<br />Eric Baldeschwieler – CEO<br />twitter: @jeric14 (@hortonworks)<br />Formerly VP Hadoop Engineering @Yahoo!<br />8 Years at Yahoo! <br />© Hortonworks Inc. 2011<br />Architecting the Future of Big Data<br />June 29, 2011<br />
  2. 2. About Hortonworks<br />Mission: Revolutionize and commoditize the storage and processing of big data via open source<br />Vision: Half of the world’s data will be stored in Apache Hadoop within five years<br />Strategy: Grow the Apache Hadoop Ecosystem by making Apache Hadoop easier to consume, profit by providing training, support and certification<br />An independent company<br />Focused on making Apache Hadoop great<br />Hold nothing back, Apache Hadoop will be complete<br />© Hortonworks Inc. 2011<br />3<br />
  3. 3. Credentials<br />Technical: key architects and committers from Yahoo! Hadoop engineering team<br />Highest concentration of Apache Hadoop committers<br />Contributed >70% of the code in Hadoop, Pig and ZooKeeper<br />Delivered every major/stable Apache Hadoop release since 0.1<br />History of driving innovation across entire Apache Hadoop stack<br />Experience managing world’s largest deployment<br />Business operations: team of highly successful open source veterans<br />Led by Rob Bearden, former COO of SpringSource & JBoss<br />Investors: backed by Benchmark Capital and Yahoo!<br />Benchmark was key investor in Red Hat, MySQL, SpringSource, Twitter & eBay<br />© Hortonworks Inc. 2011<br />4<br />
  4. 4. Hortonworks and Yahoo!<br />Yahoo! is a development partner<br />Leverage large Yahoo! development, testing & operations team<br />More than 1,000 active & sophisticated users of Apache Hadoop<br />Access to the Yahoo! grid for testing large workloads<br />Only organization that has delivered a stable release of Apache Hadoop<br />Yahoo will continue to contribute Apache Hadoop code too!<br />Yahoo! is a customer<br />Hortonworks provides level 3 support and training to Yahoo!<br />Yahoo deploys Apache Hadoop releases across its 42,000 grid<br />Yahoo! is an investor<br />5<br />© Hortonworks Inc. 2011<br />
  5. 5. Current State of Adoption<br />Technology & Knowledge Gaps Prevent Apache Hadoop from Reaching Full Potential<br />Customers are asking their vendors for help with Hadoop!<br />“We’re seeing Hadoop in all of our fortune 2000 data accounts”<br />Enterprise Adoption<br />Vendor Ecosystem Adoption<br /><ul><li>Early adopters
  6. 6. Technology is hard to install, manage & use
  7. 7. Technology lacks enterprise robustness
  8. 8. Requires significant investment in technical staff or consulting
  9. 9. Hard to find & hire experienced developer & operations talent
  10. 10. Early in vendor adoption lifecycle
  11. 11. Hadoop is hard to integrate and extend
  12. 12. Hard to find & hire experienced developer & operations talent</li></ul>6<br />© Hortonworks Inc. 2011<br />
  13. 13. Hortonworks Role & Opportunity<br />Bridge the Gap!<br />Grow Market<br />Vendor Ecosystem Adoption<br />Enterprise Adoption<br />Sell training and support via Partners<br />Fundamental shift in enterprise data architecture strategy<br /><ul><li>Apache Hadoop becomes standard for managing new types & scale of data
  14. 14. New applications & solutions will be created to leverage data in Apache Hadoop
  15. 15. Creates massive big data technology and services opportunity for ecosystem</li></ul>7<br />© Hortonworks Inc. 2011<br />
  16. 16. Hortonworks Objectives<br />Make Apache Hadoop projects easier to install, manage & use<br />Regular sustaining releases<br />Compiled code for each project (e.g. RPMs)<br />Testing at scale<br />Make Apache Hadoop more robust<br />Performance gains<br />High availability<br />Administration & monitoring <br />Make Apache Hadoop easier to integrate & extend<br />Open APIs for extension & experimentation<br />All done within Apache Hadoop community<br /><ul><li>Develop collaboratively with community
  17. 17. Complete transparency
  18. 18. All code contributed back to Apache</li></ul>Anyone should be able to easily deploy the Hadoop projects directly from Apache<br />8<br />© Hortonworks Inc. 2011<br />
  19. 19. Technology Roadmap<br />9<br />© Hortonworks Inc. 2011<br />
  20. 20. Phase 2 - Next Generation Apache Hadoop<br />Core<br />HDFS Federation<br />Next Gen MapReduce<br />New Write Pipeline (HBase support)<br />HA (no SPOF) and Wire compatibility<br />Data - HCatalog 0.3<br />Pig, Hive, MapReduce and Streaming as clients<br />HDFS and HBase as storage systems<br />Performance and storage improvements<br />Management & Ease of use<br />All components fully tested and deployable as a stack<br />Stack installation and centralized config management<br />REST and GUI for user tasks<br />© Hortonworks Inc. 2011<br />10<br />
  21. 21. Hortonworks @ Hadoop Summit<br />11am: “Crossing the Chasm: Hadoop for the Enterprise”<br />Tech talk by Sanjay Radia<br />1:45pm: “Next Generation Apache Hadoop MapReduce”<br />Community track by Arun Murthy<br />2:15pm: “Introducing HCatalog (Hadoop Table Manager)”<br />Community track by Alan Gates<br />4:00pm: “Large Scale Math with Hadoop MapReduce”<br />Applications and Research Track by Tsz-Wo Sze<br />4:30pm: “HDFS Federation and Other Features”<br />Community track by Suresh Srinivas<br />11<br />© Hortonworks Inc. 2011<br />
  22. 22. Thank You.<br />© Hortonworks Inc. 2011<br />
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