Data-intensive Systems
Principles and Fundamentals using Hadoop and Spark
Seiten
2019
|
1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-04602-6 (ISBN)
Springer International Publishing (Verlag)
978-3-030-04602-6 (ISBN)
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.
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 | 17.01.2019 |
|---|---|
| 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 |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Einführung in die Praxis der Datenbankentwicklung für Ausbildung, …
Buch | Softcover (2021)
Springer Fachmedien Wiesbaden GmbH (Verlag)
CHF 69,95
