Discover how WWT and Databricks helped a global relocation services provider turn siloed data into a scalable, insight-driven ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

The Top 25 Firm plans to launch a data warehouse service for smaller organizations this year and has been using AI to develop some of its rollout strategies.

This comparison helped to understand the unique strengths and challenges associated with each type of data warehouse. To visually present findings, sankey diagrams were used for perspectives involving ...

This feature article explores Chitnis's journey and vision through eight themes, from multi-cloud strategy to the rise of data mesh, drawing on his insights and the latest research in the field.

AT&T prioritized data privacy, security, and governance as it took steps to democratize data. Shortly after the company began evaluating potential data engineering and AI solutions, Azure Databricks ...

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. While ...