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Data-intensive systems = principles ...

Wiktorski, Tomasz.

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Data-intensive systems = principles and fundamentals using Hadoop and Spark /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data-intensive systems/ by Tomasz Wiktorski.
Reminder of title:	principles and fundamentals using Hadoop and Spark /
Author:	Wiktorski, Tomasz.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xii, 97 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Hadoop 101 and reference scenario -- Functional abstraction -- Introduction to MapReduce -- Hadoop Architecture -- MapReduce algorithms and patterns -- NOSQL Databases -- Spark.
Contained By:	Springer eBooks
Subject:	Databases. -
Online resource:	https://doi.org/10.1007/978-3-030-04603-3
ISBN:	9783030046033

Data-intensive systems = principles and fundamentals using Hadoop and Spark /
Wiktorski, Tomasz.

Data-intensive systemsprinciples and fundamentals using Hadoop and Spark /[electronic resource] :by Tomasz Wiktorski. - Cham :Springer International Publishing :2019. - xii, 97 p. :ill., digital ;24 cm. - SpringerBriefs in advanced information and knowledge processing,2524-5198. - SpringerBriefs in advanced information and knowledge processing..

Introduction -- Hadoop 101 and reference scenario -- Functional abstraction -- Introduction to MapReduce -- Hadoop Architecture -- MapReduce algorithms and patterns -- NOSQL Databases -- Spark.

Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset. The origins of this volume are in lectures from a master's course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.

ISBN: 9783030046033

Standard No.: 10.1007/978-3-030-04603-3doiSubjects--Uniform Titles:

Apache Hadoop.
Subjects--Topical Terms:

747532
Databases.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.74

Data-intensive systems = principles and fundamentals using Hadoop and Spark /
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520 $a Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset. The origins of this volume are in lectures from a master's course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.
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