Instant download Spark Big Data Cluster Computing in Production pdf, docx, kindle format all chapters after payment. ISBN(S): 9781119254041, 1119254043
Product details:
- ISBN 10: 1119254043
- ISBN 13: 9781119254041
- Author: Ilya, Ema, Kai, Brennon
Production-targeted Spark guidance with real-world use cases
Spark: Big Data Cluster Computing in Production goes beyond general Spark overviews to provide targeted guidance toward using lightning-fast big-data clustering in production. Written by an expert team well-known in the big data community, this book walks you through the challenges in moving from proof-of-concept or demo Spark applications to live Spark in production. Real use cases provide deep insight into common problems, limitations, challenges, and opportunities, while expert tips and tricks help you get the most out of Spark performance. Coverage includes Spark SQL, Tachyon, Kerberos, ML Lib, YARN, and Mesos, with clear, actionable guidance on resource scheduling, db connectors, streaming, security, and much more.
Spark has become the tool of choice for many Big Data problems, with more active contributors than any other Apache Software project. General introductory books abound, but this book is the first to provide deep insight and real-world advice on using Spark in production. Specific guidance, expert tips, and invaluable foresight make this guide an incredibly useful resource for real production settings.
Table contents:
Chapter 1 Finishing Your Spark Job
Chapter 2 Cluster Management
Chapter 3 Performance Tuning
Chapter 4 Security
Chapter 5 Fault Tolerance or Job Execution
Chapter 6 Beyond Spark
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