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Modern Data Warehousing, Mining, & Visualization Core Concepts
Helping Future Managers Understand Data Warehousing
Written from both a technical and a managerial standpoint, this text provides a foundation for teaching the basic concepts of data warehousing, mining, and visualization.
This text places strong emphasis on helping students thoroughly understand the value of data warehouses and
their associated technologies with a distinctly real-world orientation that emphasizes application and implementation over design and development in all topic areas.
An Applied Approach to Understanding Data Warehousing
With the end-of-chapter material, the Companion Website at www.prenhall.com/marakas, and Megaputer Intelligence, Inc's PolyAnalyst? and TextAnalyst? data mining and visualization software applications packaged with this text, students will be hands on with the content!
* Data Mining and Data Visualization Exercises: Based on Megaputer's PolyAnalyst and TextAnalyst software applications, these tutorials will help students associate, classify, predict, and acquire knowledge from numerical and structured data.
* Extensive use of graphics and examples are used whenever a new concept is introduced. By referencing the material, students are able to clearly remember the .important material.
* Narrative vignettes present situations using fictitious characters to further clarify concepts associated with the process of making a decision.
CONTENTS:
1. Introduction to Data Mining, Warehousing, and Visualization.
2. The Data Warehouse.
3. Data Mining and Data Visualization.
4. Machines that Can Learn.
5. Executive Information Systems.
6. Designing and Building the Data Warehouse.
7. The Future of Data Mining, Warehousing, and Visualization.
References.
Index.
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