The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business ...

A new platform won't fix your data problems if your business logic is a mess; you need to clean up your data definitions ...

The article examines data mesh, data fabric, ELT, and reverse ETL shaping enterprise analytics architectures today.

John O'Brien, principal advisor and industry analyst, Radiant Advisors, led the annual Data Summit pre-conference workshop, 'Architect Your Enterprise Data Future: Building Strategic Modern Data ...

The insurance industry has always placed significant importance on data due to its reliance on algorithms and financial models to function. In the digital era, data's significance is increasing even ...

Data silos, limited scalability and performance bottlenecks, poor data quality and governance, cost inefficiencies, and an inability to support AI workloads – these are just some of the challenges ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

In the first of this two-part series we looked at the all-flash data center and the evolving needs of business in a digital world. What emerged is the need for organizations to be able to react ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

A step-by-step road map for building the enterprise architecture required to deploy AI safely, quickly, and at scale.