Getting Big Value from Big Data

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  • 1. Speakers:Noel Yuhanna, Principal Analyst, ForresterMatt Stump, CTO and Co-founder, SourceNinjaRobin Schumacher, VP Products, DataStax©2012 DataStax 1
  • 2. DATASTAX Big Data Big Value Noel Yuhanna, Principal Analyst © 2009 Forrester Research, Inc. Reproduction Prohibited©2012 DataStax 2
  • 3. ©2012 DataStax 3
  • 4. World’s data is more than a Zeta Byte! 1,000,000,000,000,000,000,000 Bytes (That’s 135GB of data for every person on Earth!) Most data now lives outside of Corporate Data Centers! Data will double over the next 4 years! How much data are you using in your organization?©2012 DataStax 4
  • 5. Structured Terabytes Variety Volume Unstructured Petabytes Semi-structured 3V’s 1C Velocity Complexity Processing data Speed of ingestion©2012 DataStax 5
  • 6. ©2012 DataStax 6
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  • 11. Difficult to scale,no redundancy Increased cmplexity Inability to query Wasted hardware Increased cost©2012 DataStax 11
  • 12. Flexible schema Easily to scale,increased redundancy Fast enough for web requests Consolidate existing services Full text indexing Hadoop support©2012 DataStax 12
  • 13. ©2012 DataStax 13
  • 14. ©2012 DataStax 14
  • 15. ©2012 DataStax 15
  • 16. ©2012 DataStax 16
  • 17. ©2012 DataStax 17
  • 18. ©2012 DataStax 18
  • 19. ©2012 DataStax 19
  • 20. • Full-text indexing • Trigrams • Rich data formats (PDF,Word,HTML) • Flexible Schema • Easy interop (REST,CSV,XML,JSON) • Geo-spatial search • Highlighting • Auto-suggest • Faceted search and filtering©2012 DataStax 20
  • 21. ©2012 DataStax 21
  • 22. Storm©2012 DataStax 22
  • 23. Increased performance by 700% while growing data by 500%©2012 DataStax 23
  • 24. Reduced operational costs by 40%©2012 DataStax 24
  • 25. Reduced operational costs by 40%©2012 DataStax 25
  • 26. Deleted 15,000 lines of code©2012 DataStax 26
  • 27. ©2012 DataStax 27
  • 28. Speakers:Noel Yuhanna, Principal Analyst, ForresterMatt Stump, CTO and Co-founder, SourceNinjaRobin Schumacher, VP Products, DataStax©2012 DataStax 28
  • 29. Overview of DataStax • Founded in April 2010 • Commercial leader in Apache Cassandra™, the popular open-source “big data” database • 170+ customers • 45+ employees • Home to Apache Cassandra Chair & most committers • Headquartered in San Francisco Bay area • Funded by prominent venture firms©2012 DataStax 29
  • 30. Who’s using Cassandra?©2012 DataStax 30
  • 31. Why DataStax? DataStax helps you move faster by delivering enterprise-class NoSQL database solutions, powered by Apache Cassandra, that are specifically architected to handle big data in a very efficient and cost-effective way. Database Software & Tools • DataStax Enterprise Edition • DataStax Community Edition • DataStax OpsCenter • Drivers & Connectors Support & Services • Production Support • Consultative Help • Professional Training • Online Documentation©2012 DataStax 31
  • 32. Next Steps Download DataStax Enterprise and try it in your own environment. • Go to www.datastax.com/download • Download a copy of DataStax Enterprise • Installs and configures in minutes • Completely free for development use; subscription required for production deployments©2012 DataStax 32
  • 33. Move Faster.©2012 DataStax 33