Data Warehouse and Data Mart Design: ERwin governs and optimize data warehousing-specific modeling techniques for analyzing its performance.

This article discusses some best practices and techniques for leveraging your modeling tool as a metadata solution in a data warehousing and BI environment. Know Your Audiences, Know Their Preferences ...

The “big data” era is still very much upon us, ushering in an age of constantly evolving technologies and techniques. Many wonder whether the enterprise data warehouse (EDW) still has relevance in the ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete ...

Microsoft is acquiring ADRM Software and plans to combine its Azure compute and storage technology with its large-scale vertical data models.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.