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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
An Introduction to SMACK The Model - Scala and Akka The Engine - Apache Spark The Storage - Apache Cassandra The Broker - Apache Kafka The Manager - Apache Mesos Study Case 1 - Spark and Cassandra Study Case 2 - Connectors Study Case 3 - Mesos and Docker

Summary


NoSQL is not just hype, or a young technology; it is an alternative, with known limitations and capabilities. It is not an RDBMS killer. It's more like a younger brother who is slowly growing up and taking some of the burden. Acceptance is increasing and it will be even better as NoSQL solutions mature. Skepticism may be justified, but only for concrete reasons.

Since Cassandra is an easy and free working environment, suitable for application development, we recommended it, especially with additional utilities that ease and accelerate database administration.

Cassandra has some faults (for example, user authentication and authorization are still insufficiently supported in Windows environments) and should preferably be used when there is a need to store large amounts of data.

For start-up companies that need to manipulate large amounts of data with the aim of costs reduction, implementing Cassandra in a Linux environment is a must-have.

In the next chapter, we will explore Kafka, an...

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