"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.

1. NoSQL? How About NoDBMS?
NoSQL and the Spreadsheet,
Separated at Birth?

2. What is NoSQL?

3. Size of Data

4. Size of Data Physical Format

5. Size of Data Physical Format Logical Format

6. Size of Data Physical Format Logical Format

7. Size of Data Physical Format Logical Format

8. Size of Data Physical Format Logical Format
Type of Data: Structured, Semi-structured, or Unstructured

9. Size of Data Physical Format Logical Format
Type of Data: Structured, Semi-structured, or Unstructured
Who
Submits
Queries
and How?

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. 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. 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. 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. Size of Data Physical Format Logical Format
Type of Data: Structured, Semi-structured, or Unstructured
Who
Who
Submits
Owns the
Queries
Software?
and How?

22. Big Data? + ? +?
Data Warehouse
Microsoft Access
Spreadsheet

23. Usability
Solution
Complexity
and Cost
Data Size

24. DATA

25. Database

26. Database

27. DATA

30. SQL

31. Visual

32. Visual
Interactive

33. Visual
Interactive
Unguided

34. Why can't spreadsheets
handle a trillion rows?

36. Solution: The Cloud

38. Solution: The Cloud Again

40. Solution: Better
Technology in the Cloud

41. 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.

42. 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

43. 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

44. Browser-Based Big Data Analytics

45. 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

46. On-Demand Data Integration
• Join tables on the fly
• No schemas, indexes, or keys
• No need for table and query optimization

47. 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