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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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Neo4j anti-patterns


Relative to other NoSQL databases, Neo4j does not have a lot of anti-patterns. However, there are some common troubles that seem to befall new users, and we will try to detail them here.

Applying relational modeling techniques in Neo4j

Using relational modeling techniques can lead to trouble with almost every NoSQL database, and Neo4j is no exception to that rule. Similar to other NoSQL databases, building efficient models in Neo4j involves appropriately modeling the required queries. Relational modeling requires you to focus on how your data is stored, and not as much on how it is queried or returned.

Whereas modeling for Neo4j requires you to focus on what your nodes are, and how they are related to each other. Additionally, the relationships should be dependent on the types of questions (queries) that your model will be answering. Failure to apply the proper amount of focus on your data model can lead to performance and operational troubles later.

Using Neo4j for the first...

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