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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

Working with Lists and Maps

We have worked with lists and maps in earlier chapters in various queries. But we have not discussed how lists and maps can make Cypher queries more powerful. They are first-class types in Cypher, like string and integer, and can make it easy to build complex queries. This chapter discusses how we can handle both lists and maps as input and output. We will discuss how we can prepare lists from data, iterate lists to process data, handle nested maps, and return map projections.

The following aspects will be covered in this chapter:

  • Working with lists
  • Working with maps

We will be covering lists first. We will discuss in detail how lists work in Cypher and explore various ways we can manipulate and work with lists, both as input and output. We will also look at different types of lists and the functions available to work with them.

Let’s get onto working with lists.

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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Graph Data Processing with Cypher
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