Storage options abound when it comes to processing, managing and deriving the most value from floods of structured and unstructured data -- among them, data warehouses, marts and lakes. Each of these ...

Looking for enterprise data warehouse development in 2026? We reviewed the top companies for scalability, security, cloud ...

reality-testing data warehousing and business intelligence (BI) projects. marts can be built from the available source data. . Analyzing a new or updated source system against an in-place data ...

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects failing?” ...

Now that data warehousing has become ubiquitous in the corporate world, "clean slate" designs of entirely new decision support systems are becoming somewhat rare. Instead, designs and roadmaps are ...

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 ...

For decades, the enterprise data warehouse (EDW) has been the aspirational analytic system for just about every organization. It has taken many forms throughout the ...

Today’s businesses understand the power of data. It surrounds every aspect of their operations from marketing and sales to new product design, and even the onboarding of new employees. Captur­ing, ...

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 ...

Demand for data warehousing (DW) technologies held steady in 2010 even as many other IT categories retrenched in a tough economy. That's the macro take detailed in Gartner's just-released "Magic ...