<div><p>Apache Spark is amazing when everything clicks. But if you havenβt seen the performance improvements you expected, or still donβt feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to
High Performance Spark: Best practices for scaling and optimizing Apache Spark
β Scribed by Holden Karau, Rachel Warren
- Publisher
- O'Reilly Media
- Year
- 2016
- Tongue
- English
- Leaves
- 91
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
If you've successfully used Apache Spark to solve medium sized-problems, but still struggle to realize the "Spark promise" of unparalleled performance on big data, this book is for you. High Performance Spark shows you how take advantage of Spark at scale, so you can grow beyond the novice-level. It's ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications. Learn how to make Spark jobs run faster; Productionize exploratory data science with Spark; Handle even larger data sets with Spark; Reduce pipeline running times for faster insights.
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<div><p>Apache Spark is amazing when everything clicks. But if you havenβt seen the performance improvements you expected, or still donβt feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to
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Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for