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.<br /><br />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.<br /><br /><br />Get a gentle overview of big data and Spark<br />Learn about DataFrames, SQL, and Datasets--Spark's core APIs--through worked examples<br />Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames<br />Unders
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