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 ...

At its annual Ignite conference in Orlando, Fla., Microsoft today announced a major new Azure service for enterprises: Azure Synapse Analytics, which Microsoft describes as “the next evolution of ...

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 ...

How structured site assessments, a central data warehouse and RailBI planning software transform rail maintenance.

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 ...

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects failing?” ...

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 ...

Hydra, a member of the Y Combinator winter 2022 class, has a broad ambition. It is building an open source cloud data warehouse and hopes to eventually compete with Snowflake. The data warehouse ...

Last year I took a much closer look at Oracle Cloud. I discussed how the traditional cloud boundaries are becoming blurred with the integration of Oracle Autonomous Database, which provisions ...

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 ...