Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is great news for customers, who no longer must worry ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

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, ...

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

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 ...

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 ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

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 ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. 23 July 2020, Baden-Wuerttemberg, Kupferzell: An employee ...