Spark: The Definitive Guide - by Bill Chambers & Matei Zaharia (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.</p><p>You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library.</p><ul><li>Get a gentle overview of big data and Spark</li><li>Learn about DataFrames, SQL, and Datasets--Spark's core APIs--through worked examples</li><li>Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames</li><li>Understand how Spark runs on a cluster</li><li>Debug, monitor, and tune Spark clusters and applications</li><li>Learn the power of Structured Streaming, Spark's stream-processing engine</li><li>Learn how you can apply MLlib to a variety of problems, including classification or recommendation</li></ul><p/><br></br><p><b> About the Author </b></p></br></br><p>Bill Chambers is a Product Manager at Databricks focusing on large-scale analytics, strong documentation, and collaboration across the organization to help customers succeed with Spark and Databricks. He has a Master's degree in Information Systems from the UC Berkeley School of Information, where he focused on data science.</p><p>Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Matei's research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award.</p>
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