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Big Data Processing Using Spark in Cloud

Language EnglishEnglish
Book Hardback
Book Big Data Processing Using Spark in Cloud Mamta Mittal
Libristo code: 19346862
Publishers Springer Verlag, Singapore, June 2018
The book describes the emergence of big data technologies and the role of Spark in the entire big da... Full description
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40 398 Ft
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The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.

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About the book

Full name Big Data Processing Using Spark in Cloud
Author Mamta Mittal, Valentina E. Balas, Lalit Mohan Goyal, Raghvendra Kumar
Language English
Binding Book - Hardback
Date of issue 2018
Number of pages 264
EAN 9789811305498
ISBN 9811305498
Libristo code 19346862
Publishers Springer Verlag, Singapore
Weight 588
Dimensions 155 x 235 x 20

Categories

Reference, Information & Interdisciplinary subjects > Research & information: general > Data analysis: general
Economics, Finance, Business & Management > Business & Management > Business mathematics & systems
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data capture & analysis
Computing & Information Technology > Computer networking & communications > Cloud computing
Computing & Information Technology > Computer security
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