Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Welcome to the new kid on the block, same as the old kid but sharper, tougher and even more relevant to business than before. Who can it be, what do we call her and where does she live? Well here’s a ...

In the beginning, there were mainframes - computer behemoths that occupied whole rooms and buildings, churning, blinking, beeping and droning, storing information and eventually producing oversized ...

In the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what ...

A management guide of how enterprises can build an effective data warehouse. The term data warehouse is an ambiguous one. This is because applied in different contexts, data warehouses can take on ...

Since the 1990s, organisations have gathered, processed and analysed business information in data warehouses. The term “data warehouse” was introduced to the IT mainstream by American computer ...

The days are numbered for on-premise data warehousing solutions like Teradata, Oracle, SQL Server and DB2. Cloud data warehouse solutions like Google BigQuery, Snowflake, Redshift and Azure SQL/DW are ...

Compliance with increasingly rigorous reporting obligations and a thirst for customer behaviour information are driving the financial sector's rising investment in data warehousing and analytics.

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, ...

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 ...