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 ...

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 ...

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 ...

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 ...

If you're not analyzing all the data collected by your ERP (enterprise resource planning) and CRM (customer relationship management) solutions, it might as well be collecting dust on a shelf.

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 ...

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 ...

Why is Steve Jobs standing in front a huge data warehouse just weeks after patching a big privacy hole in iOS? Steve Jobs' morning keynote at Apple's World Wide Developers Conference included some ...