New Data Processing Paradigm in Graph Databases

Traditional Graph databases suffer from a major challenge – As the size of the dataset increases, so does the processing time making it slower to discover relationships over time. In order to overcome this challenge, a group of academicians and industry experts came up with a new paradigm of processing data in graph databases that speeds up the data processing by several order of magnitude. In this webinar, learn how you can use this new paradigm inside of Redis to store and process Graph data using RedisGraph module.

In this webinar we will discuss:

• Common use cases for Graph data and challenges
• GraphBLAS as a the new paradigm to significantly speed up Graph data processing
• Demo of how you can deliver real time insights using Graph using the new paradigm inside Redis.

ABOUT THE SPEAKER

Kyle Davis, Head of Developer Advocacy, Redis

Before joining Redis, Kyle worked as an independent full-stack architect and code quality consultant. Kyle has written extensively on Node.js and Redis. Kyle holds a Bachelors of Science in Computer Publishing & Telecommunications from the University of Southern Indiana and a Masters of Science in College Student Personnel Administration from the University of Central Missouri.