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Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing by Alfonso Antolínez García is a nonfiction available to read on EtoBox.

What is Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing about?

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. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you'll learn about Apache Spark Streaming’s execution model, the architecture of Spark Streaming, monitoring, reporting, and recovering Spark streaming. A full chapter is devoted to future directions for Spark Streaming. With real-world use cases, code snippets, and notebooks hosted on

Who reads Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing?

Author

Alfonso Antolínez García

Publisher

Apress L. P.

Published

2023

Language

EN

ISBN

9781484293805

Category

nonfiction

Subjects

Science, Stem