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SciDB: Lessons Learned

SciDB: Lessons Learned. XLDB2 Workshop September 29–30, 2008 Kian-Tat Lim. Outline. 10 lessons learned over the past year. Lesson 1. Fulfill your commitments. Mini-Workshop. Asilomar 2 days. Attendees. Lesson 2. Talk to lots of people. Science. Industry. Implementers. DB Research.

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SciDB: Lessons Learned

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  1. SciDB: Lessons Learned • XLDB2 Workshop • September 29–30, 2008 • Kian-Tat Lim

  2. Outline • 10 lessons learned over the past year

  3. Lesson 1 • Fulfill your commitments

  4. Mini-Workshop • Asilomar • 2 days

  5. Attendees

  6. Lesson 2 • Talk to lots of people

  7. Science

  8. Industry

  9. Implementers

  10. DB Research

  11. Lesson 3 • Learn the new buzzwords

  12. Terms • Data-Intensive Scalable Computing • Cloud Computing

  13. Lesson 4 • Similar requirements:the usual suspects

  14. Usual Needs • Scalable • Fast • Fault-tolerant • Cost-effective • Open Source

  15. Lesson 5 • Similar requirements:the unusual ones

  16. Unusual Needs • Order and position: • vectors and arrays

  17. Unusual Needs • Flexible schema • Uncertain data • Provenance • Versioning • Resource management

  18. Unusual Needs • Interfaces to imperative programming

  19. Lesson 6 • People are hungry

  20. Why A New DBMS? • Novel requirements • Large scale and complexity • Overlap of science and industry

  21. Lesson 7 • Work with smart people

  22. Brain Trust

  23. Lesson 8 • Re-think from the bottom up

  24. SciDB Storage • Array data model • Attribute-based storage • Compression • Versioning

  25. Lesson 9 • New operators are needed

  26. SciDB Operations • Spatial and temporal • Parallelized user-defined • Provenance

  27. Lesson 10 • Create an organization

  28. Nonprofit Foundation • SciDB.org • (Mozilla model)

  29. Initial Science Partners • LSST / SLAC • PNNL • LLNL • Fermilab • UCSB • NSF

  30. Industrial Partners • Several interested • Some with real $

  31. Summary • SciDB is becoming real

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