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Spark: the definitive guide: big data processing made simple, bill chambers, matei zaharia

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Описание

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 \nYou`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. \n

- Get a gentle overview of big data and Spark
\n

- Learn about DataFrames, SQL, and Data Spark`s core APIs through worked examples
\n

- Dive into Spark`s 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, Spark`s stream-processing engine
\n

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