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WELCOME
SHAREPOINT SATURDAY OTTAWA
December 3rd, 2016
Vincent Biret
Platinum
Gold
Silver
Bronze
Bronze
6 |SharePoint Saturday AtlantaPlease drink responsibly . We will be happy to call a cab for
you
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What is The Graph?
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Category 1 Category 2 Category 3 Category 4
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Series 1 Series 2 Series 3
Sales
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
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Vincent
Desk: E43
Phone: 514 444 4444
Extension: 275
Negotium
Street Address: Montreal
Creation : 1/1/00
Technical Advisor
Must do: technical advising
Advantages: better business cards
Developper
Must do: development
Advantages: better keyboard
Works as
Since 1/7/14
Works as
Since 12/7/12
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Delve
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MS GraphAPI
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With great power comes great responsabilities
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ML Studio
Time to day goodbye
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46 |SharePoint Saturday Atlanta
Vincent Biret @baywet
Bit.ly/vince365
vbiret@outlook.com

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SharePoint Ottawa December Event

Notes de l'éditeur

  1. That among 3D printing, holographic vision, IOT and a few other stuffs
  2. Bar chart, pie chart
  3. Graph = connected objects by links (generic), graph theory is the study of graph, graph abstract data type implementing graph theory
  4. Made for forms data but not really for connected data. That’s why we have to denormalize it which is a huge waste of resources. Other paradigms, Hierachical, NoSQL Document/search, Cubes and Graphs Hierarchical dbs ex : active directory, MMS… or old navigation databases from the 70’s
  5. And because it’s trendy Facebook is doing it LinkedIn too (connecting people) Amazon too (IMDB) Google (google knowledge)
  6. One endpoint. One auth flow (oauth 2/openid connect)
  7. https://graph.microsoft.io/en-us/docs/api-reference/v1.0/resources/opentypeextension https://graph.microsoft.io/en-us/docs/api-reference/v1.0/resources/webhooks https://graph.microsoft.io/en-us/docs/api-reference/beta/resources/identityprotection_root https://graph.microsoft.io/en-us/docs/api-reference/beta/resources/task https://graph.microsoft.io/en-us/docs/api-reference/beta/resources/note
  8. Delve is a MS graph client, board, profile explain all that quickly
  9. https://msdn.microsoft.com/en-us/office/office365/howto/develop-office-graph
  10. https://msdn.microsoft.com/office/office365/HowTo/query-Office-graph-using-gql-with-search-rest-api Use main endpoint with regular data + insights, this is where Microsoft is going to invest. GQL only for advanced graph people, + auth is not brokered…
  11. Show the endpoints + resulting json These ones use actors, edges and file types nodes, only 2 endpoints available right now (+/me + /users)
  12. https://graph.microsoft.io/en-us/graph-explorer
  13. No we don’t have AI robots yet. Yes that’d be awesome. Other last 15 years we’ve made lot of progress in robots, androïd, learning machine, semantic/photo analysis, expert systems… ML is only a small part of what we consider being « artificial thinking » Ex machina
  14. Post card systems (80’s), bank fraud detection patterns, insurances, loans….
  15. https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-cheat-sheet
  16. Operated by microsoft https://en.wikipedia.org/wiki/Expert_system
  17. Explain workspaces, experiences, training or not, algo, API…