Graph Data Processing with Cypher
Packt Publishing Limited (Verlag)
9781804611074 (ISBN)
Key Features
Work with Cypher syntax and semantics while building graph traversal queries
Get up and running with advanced Cypher concepts like List, Maps, OPTIONAL MATCH
Master best practices in writing effective queries leveraging data modeling and patterns
Book DescriptionWhile 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.What you will learn
Write Cypher queries from basic to advanced level
Map the source data to the graph data model in an iterative fashion
Load the data into a graph using LOAD CSV, APOC, and client drivers
Map the business questions to graph queries effectively
Identify query performance issues and fix them
Extend capabilities of Cypher using APOC utilities
Work with graph visualization tools like Bloom and Browser
Who this book is forThis book is targeted at Database Administrator, Database Developers, Graph Database Developers, and Graph Database Architects. This book will also help someone migrate from a DBA role to a graph data engineer or data scientist
If you are working with graph databases and need to learn Cypher, or are a basic Cypher developer who wants to get better at data modeling and tuning queries to build performant Cypher queries, then this is the book for you.
Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Table of Contents
Introduction to Neo4j and Cypher
Components of Cypher
Loading Data with Cypher
Querying Graph
Filtering, Sorting, and Aggregations
List Expressions, UNION, and Subqueries
Working with Lists and Maps
Advanced Query Patterns
Query Tuning
Using APOC Utilities
Cypher Ecosystem
Tips and Tricks
| Erscheinungsdatum | 29.12.2022 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| ISBN-13 | 9781804611074 / 9781804611074 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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