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E-Book

E-Book, Englisch, 226 Seiten

Goel Neo4j Cookbook

Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes
1. Auflage 2025
ISBN: 978-1-78328-726-0
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

E-Book, Englisch, 226 Seiten

ISBN: 978-1-78328-726-0
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Key FeaturesBook DescriptionIf you are already using Neo4j in your application and want to learn more about data analysis or database graphs, this is the book for you. This book also caters for your needs if you are looking to migrate your existing application to Neo4j in the future. We assume that you are already familiar with any general purpose programming language and have some familiarity with Neo4j.What you will learn - Access the Neo4j graph database from any language of your choice, whether it is Java, Python, Scala, or.Net
- Understand how to migrate data from different types of data stores such as SQL and NoSQL with ease
- Utilize and learn data modeling best practices
- Use and mine social data, whether it be from Facebook, Twitter, or LinkedIn
- Deal with geospatial data and build services such as bounding box queries and nearest point of interest
- Visualize Neo4j graphs by customizing available tools or writing your own tool
- Scale Neo4j with up to billions of nodes and edges
Who this book is forIf you are already using Neo4j in your application and want to learn more about data analysis or database graphs, this is the book for you. This book also caters for your needs if you are looking to migrate your existing application to Neo4j in the future. We assume that you are already familiar with any general purpose programming language and have some familiarity with Neo4j.

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Goel Ankur :

Ankur Goel has been passionate about software development for a long time. He is particularly interested in exploring upcoming technologies in the areas of big data, artificial intelligence, and machine learning. He started his career with CDAC High Performance Computing Lab, where he worked on the PARAM series of supercomputers and built real-world use cases around them. He has been working for start-up companies and research labs for most of his career. He also enjoys working with start-ups that are in the stealth mode stage, and helps them with their technology stack. He lives in the beautiful city of Chandigarh, India, with his pretty wife and cute newborn daughter.



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