The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business ...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. At Data Summit 2026, James Serra, data and AI Architect at Microsoft, held his ...

The article examines data mesh, data fabric, ELT, and reverse ETL shaping enterprise analytics architectures today.

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 ...

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 ...

[Click on image for larger view.] Architecture of an Enterprise Data Warehouse (source: Microsoft). And, speaking of GitHub, one of the leading experts in the MDW field is Ken Muse, a senior DevOps ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

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 ...

Why modern observability systems fail during incidents, and how new architectures fix them.

Warehouse automation is no longer a differentiator—it is a prerequisite for operating at scale. Rising labor costs, volatile demand patterns, tighter delivery expectations, and increasing SKU ...

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 ...