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 ...

A data warehouse is a big database that uses large stores of transactional data to analyze the business and support decisions. A company can use a data warehouse, for instance, to help segment the ...

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 ...

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 ...

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 ...

If there's one obvious prediction that bore out over the course of what was otherwise a very unpredictable year, it was the acceleration in the adoption of cloud computing. Just look at the continued ...

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.

Enterprises need to define a path to data-maturity and that requires reshaping and reorganizing their data storage, description, maintenance and value generation processes, procedures, tooling and ...