NoSQL? How about "NoDBMS"?

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"NoSQL" encompasses many ideas, including the type and size of the targeted data, its physical storage on disk, its logical organization, how queries are expressed, and how the database software is managed. It is a way of doing databases that is different from that of the traditional RDBMS, and it makes a lot of sense, given the limitations of traditional technologies and emerging needs in our changing world. But what if databases were unnecessary altogether? In this session we will explore idea of taking "no SQL" to it's logical conclusion.

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NoSQL? How about "NoDBMS"?

  1. 1. NoSQL? How About NoDBMS? NoSQL and the Spreadsheet, Separated at Birth?
  2. 2. What is NoSQL?
  3. 3. Size of Data
  4. 4. Size of Data Physical Format
  5. 5. Size of Data Physical Format Logical Format
  6. 6. Size of Data Physical Format Logical Format
  7. 7. Size of Data Physical Format Logical Format
  8. 8. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured
  9. 9. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured Who Submits Queries and How?
  10. 10. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured Who Who Submits Owns the Queries Software? and How?
  11. 11. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured Who Who Submits Owns the Queries Software? and How?
  12. 12. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured Who Who Submits Owns the Queries Software? and How?
  13. 13. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured Who Who Submits Owns the Queries Software? and How?
  14. 14. Size of Data Physical Format Logical Format Type of Data: Structured, Semi-structured, or Unstructured Who Who Submits Owns the Queries Software? and How?
  15. 15. Big Data? + ? +?Data WarehouseMicrosoft Access Spreadsheet
  16. 16. Usability Solution Complexity and Cost Data Size
  17. 17. DATA
  18. 18. Database
  19. 19. Database
  20. 20. DATA
  21. 21. SQL
  22. 22. Visual
  23. 23. VisualInteractive
  24. 24. VisualInteractiveUnguided
  25. 25. Why cant spreadsheetshandle a trillion rows?
  26. 26. Solution: The Cloud
  27. 27. Solution: The Cloud Again
  28. 28. Solution: BetterTechnology in the Cloud
  29. 29. The Trillion-Row Spreadsheet™ User can see, combine, manipulate and analyze all available data through a web browser without a local copy of any of the data. All source data records remain in a single cloud- based repository of unlimited size.
  30. 30. Trillion-Row Spreadsheet™ Benefits• Faster than the fastest database• Easier to use than a desktop spreadsheet• More powerful analytics than either• On-demand data integration• No hardware or software to buy
  31. 31. Trillion-Row Spreadsheet™ Reality• Table size is virtually unlimited 425,000,000,000 (0.4T) row table the largest so far• Fast and easy source data loading 75B records/hour (~20M/sec), no need for ETL• Safe, reliable data asset management Six Nines data center, fault-tolerant clustering
  32. 32. Browser-Based Big Data Analytics
  33. 33. Direct Analysis of Whole Data• No summaries, aggregation, or sampling• Real-time scrolling, search and selection• Full source data displayed in browser UI• Incremental operations with full undo
  34. 34. On-Demand Data Integration• Join tables on the fly• No schemas, indexes, or keys• No need for table and query optimization
  35. 35. Unmatched Analyst Productivity• Hundreds of built-in analytical functions• Multi-language API• ODBC connection for legacy SQL• Fully integrated with Microsoft Excel®• Parameterized, reusable, sharable queries• Powerful, simple macro language

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