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Learning Apache Spark 2 Muhammad Asif Abbasi

  • SKU: BELL-11251962
Learning Apache Spark 2 Muhammad Asif Abbasi
$ 31.00 $ 45.00 (-31%)

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Learning Apache Spark 2 Muhammad Asif Abbasi instant download after payment.

Publisher: Packt Publishing
File Extension: AZW3
File size: 16.22 MB
Pages: 356
Author: Muhammad Asif Abbasi
ISBN: 9781785885136, 1785885138
Language: English
Year: 2017

Product desciption

Learning Apache Spark 2 Muhammad Asif Abbasi by Muhammad Asif Abbasi 9781785885136, 1785885138 instant download after payment.

Learn about the fastest growing open source project in the world, and how it revolutionizes big data analyticsAbout This Book* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark* Explore and exploit various possibilities with Apache Spark using real-world use cases in this book* Want to perform efficient data processing at real time? This book will be your one-stop solution.Who This Book Is ForThis guide appeals to Big Data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful.The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science and want to understand how Spark can help them on their analytics journey.What you will learn* Overview Big Data Analytics and its importance for organizations and data professionals.
* Delve into Spark to see how it is different from existing processing platforms* Understand the intricacies of various file formats, and how to process them with Apache Spark.* Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager.* Learn the concepts of Spark SQL, SchemaRDD, Caching, Spark UDFs and working with Hive and Parquet file formats* Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark.* Introduce yourself to SparkR and walk through the details of data munging including selecting, aggregating and grouping data using R studio.* Walk through the importance of Graph computation and the graph processing systems available in the market* Check the real world example of Spark by building a recommendation engine with Spark using collaborative filtering*

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