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Spark - The Definitive Guide (Paperback) Loot Price: R728
Discovery Miles 7 280
You Save: R509 (41%)
Spark - The Definitive Guide (Paperback): Bill Chambers, Matei Zaharia

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Spark - The Definitive Guide (Paperback)

Bill Chambers, Matei Zaharia

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List price R1,237 Loot Price R728 Discovery Miles 7 280 | Repayment Terms: R68 pm x 12* You Save R509 (41%)

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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. 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. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets-Spark's core APIs-through worked examples Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark's stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

General

Imprint: O'reilly Media, Inc, Usa
Country of origin: United States
Release date: March 2018
Authors: Bill Chambers • Matei Zaharia
Dimensions: 238 x 181 x 32mm (L x W x T)
Format: Paperback
Pages: 606
ISBN-13: 978-1-4919-1221-8
Categories: Books > Computing & IT > General theory of computing
Books > Computing & IT > Applications of computing
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
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LSN: 1-4919-1221-9
Barcode: 9781491912218

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