Introduction to RedisGraph

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Ayaka Shinozaki

1:13:21

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01 - Introduction

01 - Learn RedisGraph.mp4

01:16

02 - What you should know.mp4

02:48

02 - 1. Introduction to Knowledge Graphs and RedisGraph

01 - What is a knowledge graph.mp4

02:53

02 - Reading Cypher.mp4

04:04

03 - RedisGraph.mp4

02:38

03 - 2. Populating Your Own Knowledge Graph

01 - Adding nodes and edges.mp4

04:32

02 - Connecting nodes and edges.mp4

04:52

03 - How to check your graph and troubleshoot.mp4

04:42

04 - Fixing the graph with a DELETE operation.mp4

06:29

05 - Updating the graph with a SET operation.mp4

05:44

04 - 3. Query Your Knowledge Graph

01 - Using the RETURN operation to get specific information.mp4

05:11

02 - Further specifications on the RETURN operation.mp4

05:05

03 - Part one Using the WHERE clause to filter the results.mp4

05:35

04 - Part two Using the WHERE clause to filter the results.mp4

04:36

05 - 4. Full-Text Search

01 - Introduction to indexes and full-text search.mp4

05:32

02 - Interleaving CALL clause and other Cypher clauses.mp4

06:05

06 - Conclusion

01 - Your knowledge graph journey.mp4

01:19

Description

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.

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Machine Learning

Data Analysis

Ayaka Shinozaki

Instructor's Courses

MRI physicist pursuing a PhD in medical imaging (Univ. of Oxford). Applying imaging hardware and data analytics to the biomedical field to help develop the personalised medicine space. Multi award-winning and published Python developer holding an MPhil in Translational Biomedical Research (Univ. of Cambridge) and a BA in Physics (Columbia Univ.).

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.