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

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Bibliographic Details
Author / Creator:Wiktorski, Tomasz, author.
Imprint:Cham, Switzerland : Springer, [2019]
Description:1 online resource
Language:English
Series:Advanced information and knowledge processing
Advanced information and knowledge processing.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11780870
Hidden Bibliographic Details
ISBN:3030046036
9783030046040
3030046044
9783030046033
9783030046026
3030046028
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from digital title page (viewed on February 14, 2019).
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.
Other form:Print version: Wiktorski, Tomasz. Data-intensive systems. Cham, Switzerland : Springer, [2019] 3030046028 9783030046026
Standard no.:10.1007/978-3-030-04603-3