Here are all the important info about Graph Data Modeling with Neo4j: Neo4j Knowledge Session.
Category: | Events |
Event Category: | Webinar |
Event Type: | Education and Training |
Starting Date: | Nov 18, 2022 (Fri) |
Last Date: | Nov 18, 2022 (Fri) |
Event Status: | Expired |
Organized By: | Neo4j |
Venue: | Training |
Event Add: | Neo4j, Inc. 111 E 5th Avenue San Mateo, |
City: | New York |
State: | New York |
Country: | United States |
Event link: | https://neo4j.com/event/graph-data-modeling-with-neo4j-neo4j-knowledge-session-2-nov/ |
This session teaches how to design and implement a graph data model and associated queries.
With a mixture of instruction and hands-on practice sessions, you’ll learn how to apply the property graph model to solve common modeling problems. You’ll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements.
You will need your own laptop for this session. Please arrive early to quickly install the product and labs used in the class.
Who should attend?
Please note the number of seats is limited, please let us know if you need to cancel your reservation so we can offer your space to someone in our waiting list.
To get the best from this session, you will need some familiarity with Neo4j, and the Cypher language in particular. The material from the
November 4 Knowledge Share session
or the online
Neo4j Fundamentals Training
is sufficient knowledge.
Let's now talk about some of the most frequently asked questions about Event. These questions are based on need of users.
Event will start from Nov 18, 2022.
Event will end on Nov 18, 2022.
Neo4j, Inc. 111 E 5th Avenue San Mateo,.
You can check out more info about the event at https://neo4j.com/event/graph-data-modeling-with-neo4j-neo4j-knowledge-session-2-nov/.
United States.
New York.
New York.
Area pin code for the event is 94401 .
Here you will find all the useful info about Graph Data Modeling with Neo4j: Neo4j Knowledge Session. If you think something is missing then let us know
Disclaimer: Most of the events are self-listed by users, and their physical addresses are not verified by our team, so before visiting any event or joining online, must cross-verify the company or individual's details.