Data Warehouse Systems: Design and Implementation

Data Warehouse Systems: Design and Implementation

ISBN-10:
3662513501
ISBN-13:
9783662513507
Pub. Date:
08/23/2016
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3662513501
ISBN-13:
9783662513507
Pub. Date:
08/23/2016
Publisher:
Springer Berlin Heidelberg
Data Warehouse Systems: Design and Implementation

Data Warehouse Systems: Design and Implementation

Paperback

$89.99 Current price is , Original price is $89.99. You
$89.99 
  • SHIP THIS ITEM
    Not Eligible for Free Shipping
  • PICK UP IN STORE
    Check Availability at Nearby Stores
  • SHIP THIS ITEM

    Temporarily Out of Stock Online

    Please check back later for updated availability.


Overview

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes "Fundamental Concepts" including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II details "Implementation and Deployment," which includes physical data warehouse design; data extraction, transformation, and loading (ETL) and data analytics. Lastly, Part III covers "Advanced Topics" such as spatial data warehouses; trajectory data warehouses; semantic technologies in data warehouses and novel technologies like Map Reduce, column-store databases and in-memory databases.

As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Pentaho Business Analytics. All chapters are summarized using review questions and exercises to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available at http: //cs.ulb.ac.be/DWSDIbook/, including electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter.

Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.


Product Details

ISBN-13: 9783662513507
Publisher: Springer Berlin Heidelberg
Publication date: 08/23/2016
Series: Data-Centric Systems and Applications
Edition description: Softcover reprint of the original 1st ed. 2014
Pages: 625
Product dimensions: 6.10(w) x 9.25(h) x 0.05(d)

About the Author

Alejandro Vaisman is a professor at the Instituto Tecnológico de Buenos Aires, where he also chairs the graduate program in data science. He has been a professor and chair of the master’s program in data mining at the University of Buenos Aires (UBA) and professor at Universidad de la República in Uruguay. His research interests are in the fields of relational databases, graph databases, business intelligence, and geographic information systems.

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, spatio-temporal and mobility databases, as well as the semantic Web. He coordinated the Erasmus Mundus master’s and doctorate programmes “Information Technologies for Business Intelligence” (IT4BI) and “Big Data Management and Analytics” (BDMA) as well as the Marie Skłodowska-Curie doctorate programme “Data Engineering for Data Science” (DEDS).

Table of Contents

Part I: Fundamental Concepts.- 1. Introduction.- 2. Database Concepts.- 3. Data Warehouse Concepts.- 4. Conceptual Data Warehouse Design.- 5. Logical Data Warehouse Design.- 6. Data Analysis in Data Warehouses.- 7. Data Analysis in the Northwind Data Warehouse.- Part II: Implementation and Deployment.- 9. Physical Data Warehouse Design.- 9. Extraction, Transformation, and Loading.- 10. A Method for Data Warehouse Design.- Part III: Advanced Topics.- 11. Temporal and Multiversion Data Warehouses.- 12. Spatial and Mobility Data Warehouses.- 13. Graph Data Warehouses.- 14. Semantic Web Data Warehouses.- 15. Recent Developments in Big Data Warehouses.

From the B&N Reads Blog

Customer Reviews