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Graph Data Processing with Cypher

You're reading from   Graph Data Processing with Cypher A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Length 332 pages
Edition 1st Edition
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Author (1):
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Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher FREE CHAPTER 3. Chapter 2: Components of Cypher 4. Part 2: Working with Cypher
5. Chapter 3: Loading Data with Cypher 6. Chapter 4: Querying Graph 7. Chapter 5: Filtering, Sorting, and Aggregations 8. Chapter 6: List Expressions, UNION, and Subqueries 9. Part 3: Advanced Cypher Concepts
10. Chapter 7: Working with Lists and Maps 11. Chapter 8: Advanced Query Patterns 12. Chapter 9: Query Tuning 13. Chapter 10: Using APOC Utilities 14. Chapter 11: Cypher Ecosystem 15. Chapter 12: Tips and Tricks 16. Index 17. Other Books You May Enjoy

Using Neo4j Workspace

Neo4j Workspace is a new tool to help developers quickly map and load the data and analyze it with visual tools such as Neo4j Browser and Bloom without needing any coding experience. It makes it easy for graph enthusiasts, explorers, and data scientists who lack coding experience or knowledge of Cypher to get started very quickly. It includes other tools such as Data Importer, which provides a UI to map CSV/TSV data to a graph model and load the data into a graph. Browser and Bloom are also included to help explore the data visually in a single place. Workspace is still in early access; users can register for access at https://neo4j.com/product/workspace/.

Now, let’s summarize what we’ve learned in this chapter.

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