RedisGraph Essentials for Effective Data Management
1h 13mBeginner2022-06-01
Authors

Ayaka Shinozaki
Software Engineer and Clarendon Scholar at the University of Oxford
Course details
If you don’t manage your data effectively, you can’t really know what your information means. What’s worse, you miss out on the chance to learn from your data and make it actionable for your business. Over the last few years, knowledge graphs have become a popular solution for mapping out relationships in large, clunky data sets. In this course, instructor Ayaka Shinozaki shows you the basics of RedisGraph, the graph database developed on Redis that lets you model, populate, and query complex relational data in a wide range of use cases.
Discover the power of fast-graph processing with an overview of knowledge graphs and their core components and functions. Learn how to get started populating your own knowledge graph and building out its complexity as you go. Ayaka teaches you how to interact with your graph by making intelligent, meaningful queries, using clauses in the Cypher query language, and running searches to retrieve information.
Discover the power of fast-graph processing with an overview of knowledge graphs and their core components and functions. Learn how to get started populating your own knowledge graph and building out its complexity as you go. Ayaka teaches you how to interact with your graph by making intelligent, meaningful queries, using clauses in the Cypher query language, and running searches to retrieve information.
Skills covered
RedisDatabase DevelopmentDatabase ManagementOpen SourceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Learn RedisGraph
- 02 - What you should know
1. Introduction to Knowledge Graphs and RedisGraph
- 03 - What is a knowledge graph
- 04 - Reading Cypher
- 05 - RedisGraph
2. Populating Your Own Knowledge Graph
- 06 - Adding nodes and edges
- 07 - Connecting nodes and edges
- 08 - How to check your graph and troubleshoot
- 09 - Fixing the graph with a DELETE operation
- 10 - Updating the graph with a SET operation
3. Query Your Knowledge Graph
- 11 - Using the RETURN operation to get specific information
- 12 - Further specifications on the RETURN operation
- 13 - Part one - Using the WHERE clause to filter the results
- 14 - Part two - Using the WHERE clause to filter the results
4. Full-Text Search
- 15 - Introduction to indexes and full-text search
- 16 - Interleaving CALL clause and other Cypher clauses
Conclusion
- 17 - Your knowledge graph journey