Spark - The Definitive Guide: Big data processing made simple by Bill Chambers (

Description: Spark - The Definitive Guide by Bill Chambers, Matei Zaharia 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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.Youundefinedll explore the basic operations and common functions of Sparkundefineds 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, Sparkundefineds scalable machine-learning library.Get a gentle overview of big data and SparkLearn about DataFrames, SQL, and DatasetsundefinedSparkundefineds core APIsundefinedthrough worked examplesDive into Sparkundefineds low-level APIs, RDDs, and execution of SQL and DataFramesUnderstand how Spark runs on a clusterDebug, monitor, and tune Spark clusters and applicationsLearn the power of Structured Streaming, Sparkundefineds stream-processing engineLearn how you can apply MLlib to a variety of problems, including classification or recommendationAbout the AuthorsBill Chambers is a Product Manager at Databricks focusing on large-scale analytics, strong documentation, and collaboration across the organization to help customers succeed with Spark and Databricks. He has a Masters degree in Information Systems from the UC Berkeley School of Information, where he focused on data science. Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Mateis research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award. Author Biography Bill Chambers is a Product Manager at Databricks focusing on large-scale analytics, strong documentation, and collaboration across the organization to help customers succeed with Spark and Databricks. He has a Masters degree in Information Systems from the UC Berkeley School of Information, where he focused on data science. Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Mateis research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award. Promotional "Headline" Big data processing made simple Details ISBN1491912219 Author Matei Zaharia ISBN-10 1491912219 ISBN-13 9781491912218 Format Paperback Media Book Year 2018 Place of Publication Sebastopol Country of Publication United States DEWEY 006.31 Language English Pages 450 AU Release Date 2018-03-31 NZ Release Date 2018-03-31 US Release Date 2018-03-31 Publication Date 2018-03-31 UK Release Date 2018-03-31 Imprint OReilly Media Birth 1954 Affiliation - Position Consultant in Anaesthesia Qualifications Ph.D. Publisher OReilly Media Subtitle Big data processing made simple Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:123728165;

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