IBM Connect 2017: What do IBM Watson, Bluemix, LinkedIn, Facebook, Twitter, Wal-Mart, Match.com, eBay, eHarmony, and Amazon all have in common? They all have billions of records; and they all use Graph technology to manage those records. Graph excels at quickly processing huge numbers of records. Even if don't fully understand how Graph databases work, you will want to attend this session to learn how their amazing capabilities that are already built into the OpenNTF Domino API (ODA) can EASILY deliver unique solutions for your own Notes/Domino environment. This session will introduce the fundamentals of Graph, explain how Graph can be applied to NSF data using the ODA, and demonstrate some techniques to implement Graph on your next project.

1. DEV-1533
Big Data with Graph, IBM Domino, and OpenNTF API

2. Notices and
disclaimers
Copyright © 2017 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted
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IBM.
Information in these presentations (including information relating to products that have not yet been announced by IBM) has been
reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall
have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER
EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS
INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS
OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which
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IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have been
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Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice.
Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented
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savings or other results in other operating environments may vary.
References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs
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Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily
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It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel
as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business
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2 2/23/2017

3. Notices and
disclaimers
continued
Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other
publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of
performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should
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The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents,
copyrights, trademarks or other intellectual property right.
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3 2/23/2017

4. devin@redpillnow.com
redpillnow.comwww
Grand Rapids, Michigan
devinolson.net
learningxpages.com
@spanky762
Devin S. Olson

5. Challenge the way you think about Notes data

6. Change the way you approach your next project

7. Bring you faster, better results with your own data

8. TheWorldToday

9. 2,500,000,000,000,000,000
Bytes Of New Data Every Day

10. Business is turning to
graph databases

11. WhatIs a graph?
11 2/23/2017

12. a database in which
relationships are records

13. Does not
use indexes
for relationships

14. Records are key value pairs

15. An entity is called a
Vertex (or Node)

16. A Relationship is called an
Edge

17. Edges have
label
properties
* almost always verbs

18. Whouses graphs?
18 2/23/2017

20. OpenGraph

22. MicrosoftGraph

23. KnowledgeGraph

24. IBMGraph

25. WhatAre graphs use for?
25 2/23/2017

26. Social Networks

27. Fraud
Detection

28. Network & IT Operations

29. Gaming and Learning

30. Real Time Suggestions

31. Master Data Management

32. Whyuse graphs?
32 2/23/2017

33. Flexibility

34. Scalability

35. Performancibility

36. Example
simple
36 2/23/2017

37. Customer
Name: Red Pill Now Add a vertex
with some properties

38. Purchase Order
OrderNumber: 003256
Add another
vertex
with some properties
Customer
Name: Red Pill Now

39. Orders
Purchase Order
OrderNumber: 003256
Add an
edge
between them
Customer
Name: Red Pill Now

40. Orders
Purchase Order
OrderNumber: 003256
Product
ProductName: Surface Pro 4
Description: Windows tablet computer
Contains
Unit Price: $999
Quantity: 4
Repeat
Customer
Name: Red Pill Now

41. Customer
Name: Red Pill Now
Orders
Product
ProductName: Surface Pro 4
Description: Window tablet
computer
Contains
Unit Price: $999
Quantity: 4
Find a
Vertex
Purchase Order
OrderNumber: 003256

42. Customer
Name: Red Pill Now
Product
ProductName: Surface Pro 4
Description: Window tablet
computer
Iterate its
Edges
Orders
Purchase Order
OrderNumber: 003256
Contains
Unit Price: $999
Quantity: 4

43. Orders
Purchase Order
OrderNumber: 003256
Product
ProductName: Surface Pro 4
Description: Windows tablet computer
Contains
Unit Price: $999
Quantity: 4
Repeat
Customer
Name: Red Pill Now

44. WhatAre some graphs?
44 2/23/2017

45. JDBC
For Graphs

46. ClusterableGreat licensing
Transactional
Sharded
Multi-modal: all records are simultaneously
graph elements, documents and maps

47. 47 2/23/2017

48. Domino API
Great licensing
Clusterable
Transactional
Sharded
Multi-modal: all records are simultaneously
graph elements, documents and maps

49. Frames
Pipes
Furnace
Blueprints
Rexster
Gremlin

50. Any NSF
can be
included in
a graph

51. Any number
of NSFs can
be included

52. Any form
can be used
to define a
frame

53. Any
document
can be a
vertex

54. Any view
can be a
vertex

55. Any
view entry
can be an
edge

56. Demo
Time

57. Basic@Annotations

58. RESTAPIPower

59. SearchRelationships

60.  Taming Designer (Nathan T. Freeman):
https://nathantfreeman.wordpress.com/taming-ibm-
domino-designer/
 NotesIn9 #192 - Intro to Graph Databases in
Xpages (David Leedy with guest Oliver Busse):
http://www.notesin9.com/2016/08/12/notesin9-192-
intro-to-graph-database-in-xpages
 From XPages to Web App (Paul Withers):
http://www.intec.co.uk/from-xpages-to-web-app-
introduction/
 Domino OSGi Development (Paul Fiore):
http://www.slideshare.net/fiorep/domino-osgi-
development
Recommended Resources

61. devin@redpillnow.com
redpillnow.comwww
Grand Rapids, Michigan
devinolson.net
learningxpages.com
@spanky762
Devin S. Olson

62. Thank you
65 2/23/2017