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Data-intensive Systems : Principles and Fundamentals using Hadoop and Spark / by Tomasz Wiktorski.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Wiktorski, Tomasz, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
SpringerBriefs in Advanced Information and Knowledge Processing,. 2524-5198
SpringerBriefs in Advanced Information and Knowledge Processing, 2524-5198
Language:
English
Subjects (All):
Database management.
Big data.
Database Management.
Big Data.
Big Data/Analytics.
Local Subjects:
Database Management.
Big Data.
Big Data/Analytics.
Physical Description:
1 online resource (XII, 97 pages) : 27 illustrations, 1 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
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.
Contents:
Introduction
Hadoop 101 and reference scenario
Functional abstraction
Introduction to MapReduce
Hadoop Architecture
MapReduce algorithms and patterns
NOSQL Databases
Spark.
Other Format:
Printed edition:
ISBN:
978-3-030-04603-3
9783030046033
9783030046026
9783030046040
Access Restriction:
Restricted for use by site license.

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