Hands-on Guide to Apache Spark 3 by Alfonso Antolínez García(.ePUB)+

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File Size: 16.4 MB

Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing by Alfonso Antolínez García
Requirements: .ePUB, .PDF reader, 16.4 MB | True PDF, True ePUB
Overview: This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark’s structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows. This book covers Spark 3’s new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. For data engineers, data analysts, Machine Learning engineers, Python and R programmers.
Genre: Non-Fiction > Tech & Devices

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