How to handle Deeply Nested Data in Graph
Coming webinar, AgensGraph team will introduce the challenge of handling a Deeply Nested Data and explain step by step how to model and work it with AgensGraph. Thanks to the enthusiastic participation in our previous webinars, we will continue to host interesting sessions to enhance your knowledge of our graph DBMS!
Details are as follows!
Information on 6th Webinar
AgensGraph Webinar (1 hour session)
- Topic: Deeply Nested Data in Graph
- Presenter: Eya Badal Abdisho, Technical Support Engineer (Bitnine Global Inc.)
- Date: October 1, 2019 (TUE)
- PDT : 7:00AM – 8:00AM (UTC-07)
- EDT : 10:00AM – 11:00AM (UTC-04)
- UTC : 2:00PM – 3:00PM
- BST : 3:00PM – 4:00PM (UTC+01)
- CEST: 4:00PM – 5:00PM (UTC+02)
- IST : 7:30PM – 8:30PM (UTC+05:30)
- KST : 11:00PM – 12:00AM (UTC+09)
- Language: English
- Participation Link: REGISTER
- Deeply Nested Data in Graph
What is the 6th Session about?
Nested data structures are not always a benefit to modeling, storage, and query execution. In the past few years, there has been a subtle but significant shift in the way that data is structured in databases. Whereas yesterday’s databases were typically limited to storing data in rows and tables, today’s modern databases such as the graph database often could make use of nested data structures, especially when it comes to nesting data properties. However, in the graph database world, the deeply nested data could also be a challenge. In this webinar, we are going to explore how to model and work with Deeply Nested Data in AgensGraph.
Why should I join the Webinar?
Our goal is to help you understand and use graph database technology to drive value in your business. This series of webinar sessions will answer the most common questions we hear in dealing with new clients and will provide practical tutorials and advice to help accelerate your adoption of graph.
Thank you and we’ll be expecting you at the Webinar!
If you have any questions about AgensGraph, please feel free to contact us.