Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The need to unify customer and key enterprise data keeps growing as the competition in the ...

Business software giant SAP SE said it’s aiming to help enterprises eliminate the complexities of accessing and using data scattered across disparate systems and locations with today’s launch of its ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Sigma Computing (“Sigma”), the fast, easy-to-use, and powerful alternative to traditional business intelligence (BI), has announced the launch of Input Tables, a ...

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 ...

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 warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

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 ...

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, ...