Big Data Processing Using Spark in Cloud

Language: English

Published by Springer, Springer Jun 2018, 2018

9811305498 / 9789811305498

Series: Book 37 of 95 - Studies in Big Data

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This item is printed on demand - Print on Demand Titel. Neuware -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 datäs 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 scientistsworking 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.

Seller Inventory # 9789811305498

Title
Big Data Processing Using Spark in Cloud
Author
Mamta Mittal
Publisher
Springer, Springer Jun 2018
Publication year
2018
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9811305498
ISBN 13
9789811305498
Item weight
588 grams
Dimensions
241x160x21 mm
Series
Book 37 of 95: Studies in Big Data

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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