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Apache Spark Quick Start Guide : Quickly Learn the Art of Writing Efficient Big Data Applications with Apache Spark. Cover Image

E-book

Apache Spark Quick Start Guide : Quickly Learn the Art of Writing Efficient Big Data Applications with Apache Spark

Mehrotra, Shrey. (Author). Grade, Akash. (Added Author).

Summary: Apache Spark is a ﬂexible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.

Record details

ISBN: 9781789342666
ISBN: 178934266X
Physical Description: 1 online resource (150 pages)
remote
Publisher: Birmingham : Packt Publishing Ltd, 2019.

Content descriptions

General Note:	Parallelism
Formatted Contents Note:	MicrobatchDStreams; Streaming architecture; Streaming example; Machine learning; MLlib; ML; Graph processing; GraphX; mapVertices; mapEdges; subgraph; GraphFrames; degrees; subgraphs; Graph algorithms; PageRank; Summary; Chapter 8: Spark Optimizations; Cluster-level optimizations; Memory; Disk; CPU cores; Project Tungsten; Application optimizations; Language choice; Structured versus unstructured APIs; File format choice; RDD optimizations; Choosing the right transformations; Serializing and compressing ; Broadcast variables; DataFrame and dataset optimizations; Catalyst optimizer; Storage
Restrictions on Access Note:	NLC staff and students only.
Source of Description Note:	Print version record.