First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

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 ...

A good data architect is a gift to their organization because they achieve results that advance an organization’s data maturity. What kinds of characteristics lead to a data architect being considered ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think about modern data architecture, elevating modernization from a competitive ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...

Does your company need a data architect? Your email has been sent A data architect defines “how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as ...