An increasingly loud transformation has been reshaping how operations-heavy companies think about data infrastructure. In 2026, I believe it could fundamentally reshape three vendor categories. For ...

Features: AI is redrawing the enterprise software stack, turning applications into agents, data into context, and workflows ...

The so-called modern data stack is getting a facelift and perhaps a complete body makeover. As the point of control shifts from the database management system to the governance layer, we cite three ...

Debate and discussion around data management, analytics, BI and information governance. DeepSeek’s recent developments have ignited significant discussion in the AI community. DeepSeek is very ...

As CTO, you know when the current code base is too old: it takes forever to get new features out, response time for end-users is slow, tools are outdated, etc. Yet these issues barely trigger a raised ...

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.

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 ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

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 ...