Data-intensive Systems - Tomasz Wiktorski

Data-intensive Systems

Principles and Fundamentals using Hadoop and Spark
Buch | Softcover
XII, 97 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-04602-6 (ISBN)
64,19 inkl. MwSt
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.

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

Erscheinungsdatum
Reihe/Serie Advanced Information and Knowledge Processing
SpringerBriefs in Advanced Information and Knowledge Processing
Zusatzinfo XII, 97 p. 27 illus., 1 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 183 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Software Entwicklung
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Schlagworte Big Data • Data-intensive systems • Data Science • Hadoop • MapReduce
ISBN-10 3-030-04602-8 / 3030046028
ISBN-13 978-3-030-04602-6 / 9783030046026
Zustand Neuware
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