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 ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

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 true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Yellowbrick Data, the innovation leader in modern data warehousing, today announced new survey results that show IT leaders want high performance, agility and ...

Lakehouse architectures are gaining steam as a preferred method for doing big data analytics in the cloud, thanks to the way they blend traditional data warehousing concepts with today’s cloud tech.

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 ...

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large data sets cheaper and faster than its ...