3. { "name": "SmugMug", "permalink": "smugmug", "homepage_url": "http://www.smugmug.com", "blog_url": "http://blogs.smugmug.com/", "category_code": "photo_video", "products": [ { "name": "SmugMug", "permalink": "smugmug" } ], "offices": [ { "description": "", "address1": "67 E. Evelyn Ave, Suite 200", "address2": "", "zip_code": "94041", "city": "Mountain View", "state_code": "CA", "country_code": "USA", "latitude": 37.390056, "longitude": -122.067692 } ] }

4. { “id": “itemdata2344", “data": “TWFuIGlzIGRpc3Rpbmd1aXNoZWQsIG5vdCBvbmx5IGJ5IGhp cyByZWFzb24sIGJ1dCBieSB0aGlzHNpbmd1bGFyIHBhc3Npb24gZ nJvbSBvdGhlciBhbmltYWxzLCB3aGljaCBpcyBhIGx1c3Qgb2Yg dGhlIG1pbmQsIHRoYXQgYnkgYSBwZXJzZXZlcmFuY2Ugb2YgZGVsaW dodCBpbiB0aGUgY29udGludWVkIGFuZCBpbmRlZmF0aWdhYmxlIGdl bmVyYXRpb24gb2Yga25vd2xlZGdlLCBleGNlZWRzIHRoZSBzaG9y dCB2ZWhlbWVuY2Ugb2YgYW55IGNhcm5hbCBwbGVhc3VyZS4=” }

6. Catalog DataPreferences & State Events & Logging User Data & Content Data Exchange

9. { } JS

10. { }

11. JS { }

12. JS { }

13. JS { }

15. Collections Document 1Document 2 Document 3 Document 4 DocumentDB Database { "name": "John", "country": "Canada", "age": 43, "lastUse": "March 4, 2014" } { "name": “Andrew", "country": “America", "age": 22, "firstUse": “June 17, 2014" } { "docCount": 3, "last": "May 1, 2014" } { "name": "Eva", "country": "Germany", "age": 25 } JSO N

16. Collections Document 1Document 2 Document 3 Document 4 DocumentDB Database { "name": "John", "country": "Canada", "age": 43, "lastUse": "March 4, 2014" } { "name": “Andrew", "country": “America", "age": 22, "firstUse": “June 17, 2014" } { "docCount": 3, "last": "May 1, 2014" } { "name": "Eva", "country": "Germany", "age": 25 } JSO N

17. Collections Document 1Document 2 Document 3 Document 4 DocumentDB Database { "name": "John", "country": "Canada", "age": 43, "lastUse": "March 4, 2014" } { "name": “Andrew", "country": “America", "age": 22, "firstUse": “June 17, 2014" } { "docCount": 3, "last": "May 1, 2014" } { "name": "Eva", "country": "Germany", "age": 25 } JSO N

18. Collections Document 1Document 2 Document 3 Document 4 DocumentDB Database { "name": "John", "country": "Canada", "age": 43, "lastUse": "March 4, 2014" } { "name": “Andrew", "country": “America", "age": 22, "firstUse": “June 17, 2014" } { "docCount": 3, "last": "May 1, 2014" } { "name": "Eva", "country": "Germany", "age": 25 } JSO N

21. http://aka.ms/docdbsql

23. http://aka.ms/docdbjs

25.  Highly concurrent, lock free, log structured indexing technology developed with Microsoft Research  Optimized for SSD (works well for HDD) Automatic indexing of JSON documents without requiring schema or secondary indices, but configurable via:  Modes  Consistent, Lazy  Policies  Automatic, Manual  Paths  Included, Excluded  Types  Hash, Range

26. S2S3S1

27. S2S3

28. S1S2S3 http://aka.ms/docdbperf

31. NEW! http://aka.ms/docdbshard

33. http://aka.ms/docdbsearch

34. http://aka.ms/docdbhdi

37. select * from playground p where p.name = “DocumentDB” http://aka.ms/docdbplaygroundhttp://aka.ms/docdbstarterhttp://aka.ms/docdbimport

38. THANK YOU!