Data warehouse design is not a short-term investment and it’s important to understand that the process will rarely show results in a limited time frame. By looking toward the future, you’ll be more ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

A data warehouse is a central repository of corporate data derived from operational systems and external data sources. The main function of a data warehouse is to support strategic business decisions ...

This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

Promising that developers can "save weeks of development effort," Microsoft today answered their request for database project support in Visual Studio to target Azure SQL Data Warehouse projects.

There’s a trend in IT firms. CEOs and evangelists like to try and coin the next major buzz phrase with the word ‘data’ in it. There’s big data, fast data, data analytics, data provenance, time-series ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...