| 期刊全称 | Big Data Processing Using Spark in Cloud | | 影响因子2023 | Mamta Mittal,Valentina E. Balas,Raghvendra Kumar | | 视频video | | | 发行地址 | Describes the current landscape of big data processing and analysis in the cloud.Defines the underlying concepts of available analytical tools and techniques.Covers the complete data science workflow | | 学科分类 | Studies in Big Data | | 图书封面 |  | | 影响因子 | .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 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 | | Pindex | Book 2019 |
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发表于 2025-3-21 16:42:12
