Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

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Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

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Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

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Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing

Sách Hands-on Guide to Apache Spark 3 Build Scalable Computing Engines for Batch and Stream Data Processing (sách keo gáy, bìa mềm)

Thể loại:Computers - Organization and Data Processing

Năm:2023

Ngôn ngữ:english

Trang:404

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 GitHub, this book will give you an understanding of

large-scale data analysis concepts--and help you put them to use. Upon

completing this book, you will have the knowledge and skills to

seamlessly implement large-scale batch and streaming workloads to

analyze real-time data streams with Apache Spark. What You Will Learn

Master the concepts of Spark clusters and batch data processing

Understand data ingestion, transformation, and data storage Gain insight

into essential stream processing concepts and different streaming

architectures Implement streaming jobs and applications with Spark

Streaming Who This Book Is ForData engineers, data analysts, machine

learning engineers, Python and R programmers

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0969436832