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.

<ASIN:1617296376>

 

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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Killer ChatGPT Prompts (Wiley)

Author: Guy Hart-Davis
Publisher: Wiley
Pages: 240
ISBN: 978-1394225255
Print: 1394225253
ASIN: B0CF3WFTWM
Audience: Everyone
Rating: 5
Reviewer: Ian Stirk

This book aims to get optimal answers to your questions from ChatGPT, how does it fare? 



Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
A book on deep learning wtihout an equation in sight?


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