Titlebook: Big Data Processing Using Spark in Cloud; Mamta Mittal,Valentina E. Balas,Raghvendra Kumar Book 2019 Springer Nature Singapore Pte Ltd. 20

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https://doi.org/10.1007/978-3-031-17646-3sing layer, an open-source cluster (in-memory) computing platform, unified data processing engine, faster and reliable in a cutting-edge analysis for all types of data. It has a potent to join different datasets across multiple disparate data sources. It supports in-memory computing and enables fast

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Introduction to Computational Biologyl as big data repository possesses some peculiar attributes. Perhaps, analysis of big data is a common phenomenon in today’s scenario and there are many approaches with positive aspects for this purpose. However, they lack the support to deal conceptual level. There are numerous challenges related t

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Book 2019fies 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

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Big Data Streaming with Spark,vides a framework which enables such scalable, error tolerant streaming with high throughput. This chapter introduces many concepts associated with Spark Streaming, including a discussion of supported operations. Finally, two other important platforms and their integration with Spark, namely Apache Kafka and Amazon Kinesis are explored.