Visualizing and Analyzing Salesforce Data with StreamSets and Neo4j

This is a joint event is co-hosted by:

• Bay Area Salesforce Developer Group (https://www.meetup.com/ForceDotCom)

• Metis Data Science - SF Data Science Meetup (https://www.meetup.com/Metis-San-Francisco-Data-Science/)

• Salesforce Data Analytics MeetUp (https://www.meetup.com/Salesforce-Integration-Analytics/)

• GraphDB MeetUp SF (https://www.meetup.com/graphdb-sf/)

https://secure.meetupstatic.com/photos/event/5/4/a/3/600_463401667.jpeg

Data stored on platforms such as Salesforce, Oracle and SAP is the lifeblood of the modern enterprise. What insights are possible if we combine this data in a powerful graph database like Neo4j?

In this session we’ll explain how to ingest business data into Neo4j, and exercise the graph database’s unique analytical capabilities. You’ll discover how to load the initial data set and keep it synchronized with the system-of-record, with a focus on the creation of nodes and relationships in Neo4j. We’ll conclude by showing how well-crafted Cypher queries reveal insights from the combined data that are not visible in any of the individual systems.

About the speaker:

Pat Patterson is an outgoing creature of the species 'articulate techie'. He currently works at StreamSets, tending to their user community.

Pat is an accomplished international public speaker, presenting at events such as Dreamforce, OSCON, JavaOne, the RSA Conference, Defrag, Gluecon and many more. He loves to see the light bulbs illuminate above the audience's heads as they learn how the technology he's presenting can apply to their situation.

Schedule:

6:30 - 7:00: mingling, networking

7:00 - 7:10: announcements

7:10- 8:10: Pat Patterson - Visualizing and Analyzing Salesforce Data with StreamSets and Neo4j

8:10- 8:40: winding down

Venue sponsored by: Salesforce (https://www.salesforce.com/)

Food and beverage sponsored by: Salesforce (https://www.salesforce.com/) and Neo4j (Graph Database) (http://neo4j.com/)

Video production sponsored by: Coveo (http://www.coveo.com/) and Kenandy (http://www.kenandy.com/)

Co-hosting partner: Metis Data Science School (http://thisismetis.com/)