Language: English
<p>Learn how to use RDDs SQL Spark's scalable machine-learning library.</p><li>Get a gentle overview of big data and Spark</li><li>Learn about DataFrames a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring and Datasets—Spark's core APIs—through worked examples</li><li>Dive into Spark's low-level APIs and debugging Spark and execution of SQL and... and explore machine learning techniques and scenarios for employing MLlib and maintain Apache Spark with this comprehensive guide as well as Structured Streaming authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections deploy each with unique goals.</p><p>You'll explore the basic operations and common functions of Spark's structured APIs tuning written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0
Publisher: O'Reilly Media
Published: Feb 8, 2018
Description:
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.
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.