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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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Architecture


First, let's take a look at some of the terminology that is specific to HBase:

  • Table: A table in HBase roughly means the same thing as a table in an RDBMS. Data in an HBase cluster is organized into tables, which are distributed across a set of nodes:

HBase tables are divided into Regions, which are assigned to RegionServers.

  • Namespace: A collection of tables is stored in a namespace. Typically, an application gets its own namespace on the cluster. The application consists of a bunch of tables stored within that namespace.
  • Region: An HBase table is broken up into individual shards, or partitions, called regions, which are distributed across nodes in the cluster. Each region corresponds to a unique slice of the key space. A key and the value stored against that key uniquely maps to a region, based on the key range that it falls within. A region is the basic unit of assignment of data within the cluster.
  • RegionServer: The HBase RegionServer is the JVM instance that hosts a given region...

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