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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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MongoDB

MongoDB is an open source, document-oriented, and cross-platform database. It is primarily written in C++. It is also the leading NoSQL database and tied with the SQL database in fifth position after PostgreSQL. It provides high performance, high availability, and easy scalability. MongoDB uses JSON-like documents with schema. MongoDB, developed by MongoDB Inc., is free to use. It is published under a combination of the GNU Affero General Public License and the Apache License.

Let's go through the MongoDB features:

  • Rich query support: We can query the database as we do with SQL databases. It has a large query set that supports insert, update, delete and select operations. MongoDB supports fields, range queries, and regular expressions. Queries also support the projection where they return a value for specific keys.
  • Indexing: MongoDB supports primary and secondary...

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