Download NoSQL Distilled Data Science Book for Science Students PDF- NoSQL Database Book by Martin Flower & Pramod Sadalage
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NoSQL Distilled Book
NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further.
The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j.
In addition, by drawing on Pramod Sadalage’s pioneering work, NoSQL Distilled shows how to implement the evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.
Why Are NoSQL Databases Interesting?
We see two primary reasons why people consider using a NoSQL database.
- Application development productivity: A lot of application development effort is spent on
mapping data between in-memory data structures and a relational database. A NoSQL database
may provide a data model that better fits the application’s needs, thus simplifying that
interaction and resulting in less code to write, debug, and evolve. - Large-scale data: Organizations are finding it valuable to capture more data and process it
more quickly. They are finding it expensive, if even possible, to do so with relational
databases. Many NoSQL databases are designed explicitly to run on
clusters, so they make a better fit for big data scenarios.
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