Graph Databases in Action (Manning)
Monday, 07 December 2020

This book introduces you to graph database concepts by comparing them with relational database constructs. Dave Bechberger and Josh Perryman discuss the design and implementation of graph databases in real-world applications. The book looks at how to choose the right database solutions for tasks, and how to build agile, flexible, and high-performing graph-powered applications.

 

Author:  Dave Bechberger and Josh Perryman
Publisher: Manning
Date: November 2020
Pages: 366
ISBN: 978-1617296376
Print: 1617296376
Audience: Developers interested in graph databases
Level: Intermediate
Category: Data Science

graphdbinaction

  • Graph databases vs. relational databases
  • Systematic graph data modeling
  • Querying and navigating a graph
  • Graph patterns
  • Pitfalls and antipatterns

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
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Beginning Programming All-in-One For Dummies

Author: Wallace Wang
Publisher: For Dummies
Pages: 800
ISBN: 978-1119884408
Print: 1119884403
Kindle: B0B1BLY87B
Audience: Novice programmers
Rating: 3
Reviewer: Kay Ewbank

This is a collection of seven shorter books introducing key aspects of programming, but it fails through trying to cover too [ ... ]


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