Data lakes are great in theory, but their application in the real world often leaves the user wanting more. A data mesh is one approach to cleaning up chaos left by data lakes and the resulting swing ...

Data is a critical foundation in today’s retail strategies, enabling organizations to make smart analytics-based business decisions, from refining personalized marketing efforts to improving logistics ...

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 ...

To centralize or distribute data management? That question has been on the front burner ever since departmental minicomputers invaded the enterprise, followed even more subversively by PCs and LANs ...

Almost every leader knows that it’s critical to be data-driven, and almost every leader knows that their organization has a data problem. Despite significant advancement in data tools and ...

Debate and discussion around data management, analytics, BI and information governance. Arsenal vs Spurs. Federer vs Nadal. Senna vs Prost. Frost vs Nixon. There have been a lot of great rivalries ...

The data mesh is a hot topic and approach to building a decentralized analytics architecture where Business domains are responsible for their data – giving ownership to the group that's closest to and ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Businesses expect a lot ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...