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Fast Data Processing Systems with SMACK Stack

You're reading from  Fast Data Processing Systems with SMACK Stack

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786467201
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada

Table of Contents (15) Chapters

Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to SMACK 2. The Model - Scala and Akka 3. The Engine - Apache Spark 4. The Storage - Apache Cassandra 5. The Broker - Apache Kafka 6. The Manager - Apache Mesos 7. Study Case 1 - Spark and Cassandra 8. Study Case 2 - Connectors 9. Study Case 3 - Mesos and Docker

NoSQL


In this book, we will read NoSQL as Not only SQL (SQL, Structured Query Language). NoSQL is a distributed database with an emphasis on scalability, high availability, and ease of administration the opposite of established relational databases. Don't think of it as a direct replacement for RDBMS, rather, as an alternative or a complement. The focus is in avoiding unnecessary complexity, the solution for data storage according to today's needs, and fixed schemes. Due its distributed nature, cloud computing is a great NoSQL sponsor.

A NoSQL database model can be:

  • Key-value/tuple based

For example, Redis, Oracle NoSQL (ACID-compliant), Riak, Tokyo Cabinet / Tyrant, Voldemort, Amazon Dynamo, and Memcached and is used by Linked-In, Amazon, BestBuy, Github, and AOL.

  • Wide Row/column-oriented-based

For example, Google BigTable, Apache Cassandra, Hbase/Hypertable, and Amazon SimpleDB used by Amazon, Google, Facebook, and RealNetworks

  • Document-based

For example, CouchDB (ACID-compliant), MongoDB, TerraStore...

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