Rethinking enterprise data warehouse strategy — what executives need to know As the healthcare industry begins to shift toward patient-centered and value-based care, healthcare executives will become ...

The main objective of this course is to introduce students to the principles and practices of modern data visualization and data warehousing. The first half of the course focuses on visualization best ...

For data to be useful to humans, we have to be able to visualize it in a way that lets us understand the story it tells, and communicate it to others. Data visualization tools are constantly evolving ...

Expert consultant Greg Shulz said next-generation data visualization requires modernizing the full pipeline from data preparation through AI-governed analytics to interactive, story-driven presentatio ...

In the course of managing 12 million requests for roadside an accident assistance across the U.S. each year, Agero Inc. crunches a lot of data. The contact center operation, including dispatch ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation Are data warehouses relevant again, or are they a dying breed? You’re ...

As the cloud wars heat up, industry clouds are becoming a focal point. Capturing entire enterprise workloads is the biggest challenge ahead for cloud vendors. It might very well decide the fate of ...

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 ...

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 ...