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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. n n Youll explore the basic operations and common functions of Sparks 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, Sparks scalable machine-learning library. n n Get a gentle overview of big data and Spark n Learn about DataFrames, SQL, and Datasets-Sparks core APIs-through worked examples n Dive into Sparks low-level APIs, RDDs, and execution of SQL and DataFrames n Understand how Spark runs on a cluster n Debug, monitor, and tune Spark clusters and applications n Learn the power of Structured Streaming, Sparks stream-processing engine n Learn how you can apply MLlib to a variety of problems, including classification or recommendation n
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Vânzător: Libris.ro
Brand: Bill Chambers
