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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

The modern data stack is changing rapidly, with new technology emerging everyday. Increasingly, though, architectures are being built around the data warehouse. In this panel discussion, experts ...

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 ...

Today’s global economic upheaval underscores the critical need for enterprises to be agile and resilient. In most industries, change is constant and dramatic. It can also be debilitating for ...

The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O’Brien, ...

The world of data warehousing is evolving. Enterprises today need flexibility, agility and scalability. As a result, many organizations are incorporating new technologies into their data warehousing ...

In fact, Microsoft has published DataOps for the modern data warehouse guidance and a GitHub repo featuring DataOps for the Modern Data Warehouse as part of its Azure Samples offerings. [Click on ...

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