Data Warehouse Systems

Design and Implementation

Häftad, Engelska, 2016

Av Alejandro Vaisman, Esteban Zimányi, Esteban Zimanyi

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This book delivers extensive coverage of data warehousing and business intelligence technologies, from basic principles to recent applications. It illustrates how all concepts can be implemented using Microsoft Analysis Services and Pentaho Business Analytics.

Produktinformation

Utgivningsdatum2016-08-23
Mått155 x 235 x 35 mm
Vikt976 g
FormatHäftad
SpråkEngelska
SerieData-Centric Systems and Applications
Antal sidor625
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783662513507

Tillhör följande kategorier

Databaser inom Data och it
Affärsförhandlingar inom Ekonomi och ledarskap
Tillämpad datateknik inom Data och it

Alejandro A. Vaisman is a professor at the Buenos Aires Institute of Technology (ITBA). He was previously professor at the University of Buenos Aires where he co-founded and chaired the Masters program in Data Mining. His research interests are in the field of databases, particularly in data warehousing and OLAP, business intelligence, spatiotemporal databases and the semantic web.Esteban Zimányi is a professor and Director of the Department of Computer and Decision Engineering at the Université Libre de Bruxelles. His current research interests include data warehouses and business intelligence, geographical information systems and spatio-temporal databases. He is Editor-in-Chief of the Journal on Data Semantics. He is coordinator of the Erasmus Mundus Master and Doctorate on “Information Technologies for Business Intelligence” (IT4BI).

Part I Fundamental Concepts.- 1 Introduction.- 2 Database Concepts.- 3 Data Warehouse Concepts.- 4 Conceptual Data Warehouse Design.- 5 Logical Data Warehouse Design.- 6 Querying Data Warehouses.- Part II Implementation and Deployment.- 7 Physical Data Warehouse Design.- 8 Extraction, Transformation and Loading.- 9 Data Analytics: Exploiting the Data Warehouse.- 10 A Method for Data Warehouse Design.- Part III Advanced Topics.- 11 Spatial Data Warehouses.- 12 Trajectory Data Warehouses.- 13 New Data Warehouse Technologies.- 14 Data Warehouses and the Semantic Web.- 15 Conclusion.

"The book is very well suited for one or more data warehouse courses, ranging from the most basic to the most advanced. It has all the features that are necessary to make a good textbook. (...) The one thing which really set this book apart from its peers is the coverage of advanced data warehouse topics (...) The book also provides a useful overview of novel "Big Data" technologies like Hadoop, and novel database and data warehouse architectures like in-memory databases, column stores, and right-time data warehouses." from the foreword by Torben Bach Pedersen, Aalborg Universiteit, Denmark