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  • Book Overview & Buying Graph Data Processing with Cypher
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Graph Data Processing with Cypher

Graph Data Processing with Cypher

By : Ravindranatha Anthapu
4.7 (10)
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Graph Data Processing with Cypher

Graph Data Processing with Cypher

4.7 (10)
By: Ravindranatha Anthapu

Overview of this book

While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
Table of Contents (18 chapters)
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1
Part 1: Cypher Introduction
4
Part 2: Working with Cypher
9
Part 3: Advanced Cypher Concepts

Tips and Tricks

We have looked at Cypher syntax, how to load data into a graph, and retrieving data and APOC in the previous chapters. In this chapter, we will discuss the best practices to get the most out of Cypher queries, including how to leverage data modeling and patterns by looking under the hood to understand how Neo4j stores data. We will also discuss the tips and tricks to identify performance bottlenecks and how to go about addressing them. We will take a look at the following topics:

  • Understanding the internals of Neo4j
  • Reviewing querying patterns
  • Troubleshooting a few common issues
  • Reviewing the new 5.0 changes

We will also take a look at a few tips and tricks for good query patterns and identifying issues and what to look out for when we are building queries.

First, we will look at understanding the internals of Neo4j.

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Tech Concepts
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Programming languages
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Graph Data Processing with Cypher
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