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Beginning Apache Spark 2 = With Resi...
~
Luu, Hien.
Beginning Apache Spark 2 = With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Beginning Apache Spark 2/ by Hien Luu.
Reminder of title:
With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /
Author:
Luu, Hien.
Description:
XI, 393 p. 86 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Big data. -
Online resource:
https://doi.org/10.1007/978-1-4842-3579-9
ISBN:
9781484235799
Beginning Apache Spark 2 = With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /
Luu, Hien.
Beginning Apache Spark 2
With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /[electronic resource] :by Hien Luu. - 1st ed. 2018. - XI, 393 p. 86 illus.online resource.
1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark.
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you’ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you’ll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library.
ISBN: 9781484235799
Standard No.: 10.1007/978-1-4842-3579-9doiSubjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Beginning Apache Spark 2 = With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /
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1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark.
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Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you’ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you’ll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library.
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