Data virtualization for business intelligence systems revolutionizing data integration for data warehouses
Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make da...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | Undetermined English |
| Published: |
Amsterdam
Elsevier, Morgan Kaufmann
2012
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institutions: | Trung tâm Học liệu Trường Đại học Trà Vinh |
|---|
| Summary: | Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data |
|---|---|
| Physical Description: | xix, 275 p. ill. 24 cm |
| Bibliography: | Includes bibliographical references (pages 267-268) and index |
| ISBN: | 0123944252 9780123944252 |