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.

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 ...

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 ...

Oracle recently announced an update to its Autonomous Data Warehouse (ADW) service. The update positions the company to gain market share against its cloud rivals in the competitive cloud data ...

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.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. There’s a trend in IT firms. CEOs and evangelists like to ...

Data warehouses have been at the center of data analytics systems as far back as the 1980s. Today cloud-based data warehouse services offered by the likes of AWS, Snowflake and Google Cloud have ...

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.

36th Annual State of Logistics Report: Navigating uncertainty amid rising costs and global disruptions The 36th Annual State of Logistics (SoL) Report highlights a logistics market tested by economic ...

Data warehouses are relational databases that act as data analysis tools, aggregating data from multiple departments of a business into one data store. Data warehouses are typically updated as an ...