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 ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...

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 ...

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 ...

The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data ...

Businesses are racing to harness sprawling data across multiple cloud platforms. Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions ...

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 ...

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability, and flexibility that business need to thrive ...

The insurance industry has always placed significant importance on data due to its reliance on algorithms and financial models to function. In the digital era, data's significance is increasing even ...