From cloud data warehouses and lakehouses to real-time data processing and streaming, the data architecture landscape continues to evolve rapidly. Right now, the majority of DBTA subscribers have ...

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- fundamentally changing how organizations evaluate, justify, and implement their ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...