As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. For decades, organizations have approached data architecture with a monolithic ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

The results are in! This comprehensive study tracks enterprise adoption rates and maturity across key architectural patterns - from cloud data warehouses and real-time analytics to data lakehouses, ...

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 ...