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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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ACID guarantees

Relational databases have provided the traditional properties of ACID: atomicity, consistency, isolation, and durability:

  • Atomicity is self-explanatory and refers to the all-or-nothing nature of a set of operations.
  • Consistency in ACID and consistency in the CAP theorem refer to different things. Consistency in ACID refers to the principle that the system must be left in a consistent state while processing transactions, it either reflects the state after successful completion of the transaction or must roll back to a state prior to the start of the transaction.
  • Isolation refers to the interaction effects between transactions. Under what conditions is the state modified by one transaction visible to other active transactions in the system? It ranges from weak isolation levels, such as read-committed, and goes all the way to linearizable.
  • Durability indicates that once a transaction has committed, the effects of the transaction remain despite events such as errors and crashes.

NoSQL databases vary widely in their support for these guarantees, with most of them not approaching the level of strong guarantees provided by relational databases (since these are hard to support in a distributed setting).

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