Seven NoSQL Databases in a Week

A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis

Seven NoSQL Databases in a Week

Aaron Ploetz et al.

A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis
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Book Details

ISBN 139781787288867
Paperback308 pages

Book Description

This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers.

This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, InfluxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them.

By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs.

Table of Contents

What You Will Learn

  • Understand how MongoDB provides high-performance, high-availability, and automatic scaling
  • Interact with your Neo4j instances via database queries, Python scripts, and Java application code
  • Get familiar with common querying and programming methods to interact with Redis
  • Study the different types of problems Cassandra can solve
  • Work with HBase components to support common operations such as creating tables and reading/writing data
  • Discover data models and work with CRUD operations using DynamoDB
  • Discover what makes InfluxDB a great choice for working with time-series data

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Table of Contents

Book Details

ISBN 139781787288867
Paperback308 pages
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