Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Contrary to popular belief, the most meaningful developments in ...

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

Businesses spend enormous amounts of time and resources on data extraction but lose the context that gives it value. SAP Datasphere is a new data fabric architecture that integrates data and ...

Gartner and Forrester agree that to achieve agile, scalable data integration, the value derived from a data fabric architecture is worthy of investigation. According to Forrester Analyst Noel Yuhanna ...

Debate and discussion around data management, analytics, BI and information governance. The post-big data landscape has been shaped by two emergent, intrinsically related forces: the predominance of ...

Data fabrics have gained importance over the last year as more organizations seek to leverage their data and intellectual property in generative AI solutions. Data fabrics help address the challenges ...

Chief supply chain officers (CSCOs) seeking to scale advanced analytics and AI across complex, multi-system environments can leverage a data fabric architecture to create an AI‑ready data foundation, ...

It’s time to rethink data architecture. The architectures that have been built over the years were suitable for on-premise, legacy environments but tended to be static, inflexible, and accessible to ...

O'Reilly Media author and VP of Developer Experience for lakeFS, helping teams create cost-effective data systems and ML pipelines. Traditional data management approaches can no longer support ...

In 2021, leading industry analysts added data fabric to their “watch lists” for hype and market trends. In 2022, every business leader and stakeholder should become familiar with the ways in which it ...

Contrary to popular belief, the most meaningful developments in contemporary data architecture aren't the rising interest in the concepts of the data mesh or the data fabric. It’s actually the merging ...