Skip to Content
Mastering Apache Cassandra 3.x - Third Edition
book

Mastering Apache Cassandra 3.x - Third Edition

by Aaron Ploetz, Tejaswi Malepati
October 2018
Beginner to intermediate content levelBeginner to intermediate
348 pages
10h
English
Packt Publishing
Content preview from Mastering Apache Cassandra 3.x - Third Edition

Spark

Spark is a powerful, open source, general-purpose, unified cluster-computing analytics framework for large-scale data-processing. It's known for high performance, in-memory processing with an efficient engine and query optimizer. The four most widely-used interpreters for Spark are Python, Scala, Java, and R, including their interactive CLI. Spark is built on a foundation of Resilient Distributed Dataset (RDD) spread across the cluster of nodes. This eliminates computational limitations due to a cap of maximum resources that can be on a single machine, theoretically making it an infinitely scalable system. With all this, it is no surprise that it is the largest open source project in the data-processing community. Refer to Apache Spark ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Mastering Apache Cassandra - Second Edition

Mastering Apache Cassandra - Second Edition

Nishant Neeraj

Publisher Resources

ISBN: 9781789131499Supplemental Content