Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j by Ravindranatha Anthapu

Ravindranatha Anthapu . Unknown Year . English

Get acquainted with Cypher in a guided manner quickly and learn how to query the graph databases with efficient and performant queriesKey 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 patternsBook Description 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.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 BrowserWho this book is for This 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.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

Categories: Business & Economics

About the Author

A Technologist at heart who started the journey by building parsers and symbol table analyzers for C language, to working with SCSI device drivers to contribute to W3C standards and implementing new ones to graph database experts, have been part of designing and building some complex and intersting solutions across Retail, Pharma, Finance and manufacturing sectors. With over 25 years of experience designing and building products from the ground up, I have worked with various technologies and built custom protocols to solve problems across various domains. Experience gained from building cutting-edge applications like SMS-based sports score alerts, credit card fraud alerts, and combining web and speech to navigate and fill forms using speech in 2000 before they were mainstream. Architected and led the team to build an application development platform based on W3C Multimodal Interaction (MMI) specification that gives a single platform to develop applications that can be adapted to all mobile and desktop platforms and successfully got them adapted to large enterprise customers. Lead the digital transformation of those enterprises by guiding them to build applications on this platform. Past and current industry domains include Healthcare, Customer 260, Retail, Financial Services, and Defence. The functional aspects include Data mining, Supply chain Management, building Digital twins, product recommendations, market analysis for drug launches, and chronic disease analysis. The current focus is machine learning and graph-based analytics to support technology transformation efforts.

Books from Similar Categories

Books from the Same Genre

Download BookR now and choose mindful reading!

Download Now!