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Redis 4.x Cookbook

You're reading from  Redis 4.x Cookbook

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781783988167
Pages 382 pages
Edition 1st Edition
Languages

Table of Contents (21) Chapters

Title Page
Dedication
Packt Upsell
Foreword
Contributors
Preface
1. Getting Started with Redis 2. Data Types 3. Data Features 4. Developing with Redis 5. Replication 6. Persistence 7. Setting Up High Availability and Cluster 8. Deploying to a Production Environment 9. Administrating Redis 10. Troubleshooting Redis 11. Extending Redis with Redis Modules 12. The Redis Ecosystem 13. Windows Environment Setup
1. Other Books You May Enjoy Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Learning Neo4j 3.x - Second Edition Jérôme Baton, Rik Van Bruggen

ISBN: 978-1-78646-614-3

  • Understand the science of graph theory, databases and its advantages over traditional databases.
  • Install Neo4j, model data and learn the most common practices of traversing data
  • Learn the Cypher query language and tailor-made procedures to analyze and derive meaningful representations of data
  • Improve graph techniques with the help of precise procedures in the APOC library
  • Use Neo4j advanced extensions and plugins for performance optimization.
  • Understand how Neo4j's new security features and clustering architecture are used for large scale deployments

Learning PostgreSQL 10 - Second Edition Salahaldin Juba, Andrey Volkov

ISBN: 978-1-78839-201-3

  • Understand the fundamentals of relational databases, relational algebra, and data modeling
  • Install a PostgreSQL cluster, create a database, and implement your data model
  • Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects
  • Use the Structured Query Language (SQL) to manipulate data in the database
  • Implement business logic on the server side with triggers and stored procedures using PL/pgSQL
  • Make use of advanced data types supported by PostgreSQL 10: Arrays, hstore, JSONB, and others
  • Develop OLAP database solutions using the most recent features of PostgreSQL 10
  • Connect your Python applications to a PostgreSQL database and work with the data efficiently
  • Test your database code, find bottlenecks, improve performance, and enhance the reliability of the database applications
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