Big Data Processing Using Spark in Cloud is popular PDF and ePub book, written by Mamta Mittal in 2018-06-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Big Data Processing Using Spark in Cloud can be Read Online from any device for your convenience.
Big Data Processing Using Spark in Cloud Book PDF Summary
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.
Detail Book of Big Data Processing Using Spark in Cloud PDF
- Author : Mamta Mittal
- Release : 16 June 2018
- Publisher : Springer
- ISBN : 9789811305504
- Genre : Computers
- Total Page : 275 pages
- Language : English
- PDF File Size : 20,8 Mb
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