Database virtualization should be viewed as a critical weapon in the IT leader’s quiver to attack migration challenges when an efficient way to migrate data to the cloud is called for.

Today databases and data warehouses are not only systems for reliable storage and processing of service information. One of the most attractive features of big data technologies is the cost of storing ...

To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

Data warehouses have had staying power because the concept of a central data repository—fed by dozens or hundreds of databases, applications, and other source systems—continues to be the best ...

I’d hazard a guess that usually, the dissatisfaction arises from trying to force the data warehouse (or analytical database if you prefer) to do something for which it’s not well suited.

Learn how one higher education institution is modernizing and strengthening its endowment and fundraising strategy by ...

How to Maintain a Data Warehouse. Both databases and data warehouses consist of tables, indexes and keys, but unlike the former, warehouses are designed primarily to respond to critical analysis ...

An advanced database virtualization platform can even create virtual databases off of other virtual databases, allowing teams to provision a copy of the production data warehouse, perform changes, and ...

A database designed to support decision making in an organization. Data from the production databases are copied to the data warehouse so that queries can be performed without disturbing the ...

OLAP explained OLAP databases are designed to speed up multidimensional analysis on large volumes of data from a data warehouse or data mart. High-speed analysis can be accomplished by extracting ...