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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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What problems does Cassandra solve?

Cassandra is designed to solve problems associated with operating at a large (web) scale. It was designed under similar principles discussed in Amazon's Dynamo paper,[7, p.205] where in a large, complicated system of interconnected hardware, something is always in a state of failure. Given Cassandra's masterless architecture, it is able to continue to perform operations despite a small (albeit significant) number of hardware failures.

In addition to high availability, Cassandra also provides network partition tolerance. When using a traditional RDBMS, reaching the limits of a particular server's resources can only be solved by vertical scaling or scaling up. Essentially, the database server is augmented with additional memory, CPU cores, or disks in an attempt to meet the growing dataset or operational load. Cassandra, on...

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