Building the Textual Data Warehouse
For years corporate decisions have been made on the basis of the data found in transaction based systems. Transaction oriented data fits well with standard database management systems because database management systems structure data in a repetitive manner, where each occurrence of data has the same structure as each other occurrence of data in a table. But there is another viable and...
ETL for the Data Warehouse: a Template-Driven approach
Extract, transformation, and load process development (ETL) typically accounts for more than half of the work on a Data Warehouse project. Although complex and challenging a rigorous ETL process ensures data quality and currency thus ensuring Data Warehouse credibility and usefulness. The good news is that using a standardized approach along with proven techniques and templates can...
Optimizing Enterprise Data Warehouse Design Utilizing Dimensional Normal Form
Dimensional Normal Form is a new approach to Data Warehouse Data Architecture which combines the strengths of both the normalized and the dimensional design paradigms to provide usable, flexible, scalable, and high performing schemas for the Enterprise Data Warehouse. Dimensional Normal Form allows an Enterprise Data Warehouse to be constructed a Data Mart at a time without requiring an...
2011 The 2nd International Conference on Data Storage and Data Engineering
2011 The 2nd International Conference on Data Storage and Data Engineering (DSDE 2011) will be held in Xi'an, China during May 13-15, 2011. The aim objective of DSDE 2011 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Data Storage and Engineering. This...
Enterprise Data Governance and Master Data Management
This seminar is designed to help companies formally define and manage their data. It explores the whole area of Enterprise Data Management including how to establish an Enterprise Data Architecture, Data Integration and Master Data Management technologies and opening up access to information by enabling Information As A Services (IAAS) that can be consumed by Portals, processes and...