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Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
3.5 (6)
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Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

3.5 (6)
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 (10 chapters)
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Introduction to Redis


REmote DIctionary Server (Redis) is an open source, key-value, single-threaded, in-memory data store that is commonly referred to as a data structure server.[9] It is capable of functioning as a NoSQL database, key/value store, a cache layer, and a message broker (among other things). Redis is known for its speed, as it can store complex data structures in memory, and serve them to multiple users or applications.

Redis was primarily designed to serve as an in-memory cache, intended to support atomic operations on a single server. It was written (in C) by Salvatore Sanfilippo, who used it to replace the MySQL instance running at his start-up. Clustering options are available (as of Redis 3.0) with the advent of Redis Cluster. It is important to note that in terms of distributed systems, these two configurations do behave differently:

A diagrammatic representation of the CAP theorem, using corners of a triangle to denote the design aspects of consistency, availability,...

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