Book Image

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
Book Image

Seven NoSQL Databases in a Week

By: Sudarshan Kadambi, Xun (Brian) Wu

Overview of this book

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, In?uxDB, 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 (16 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Data modeling and application design with Redis


Redis performs quite well without a whole lot of configuration or tuning. However, there are things that can be done on the application side to ensure that your instance will continue to perform well.

Taking advantage of Redis' data structures

Redis ships with tools and types that are intended to make development easier. It has structures to simplify tasks, such as maintaining a queue of sequential events, or lists of unique items (ordered or unordered). Chances are that one of Redis' delivered types will suit how your application needs to store or manage data.

Queues

Unlike many data stores, Redis can easily support queue-like functionality. Updates and deletes can be performed with minimal overhead, and it has data types available to work with Last In First Out (LIFO) and First In First Out (FIFO) queuing scenarios. Redis can also keep the number of items in a queue at the desired size, as well as provide methods for adding an item to the top...