Systems | Development | Analytics | API | Testing

The rise of the Agentic Enterprise has seen a significant shift in the role of integration within organizations. Unlike traditional integration, which primarily connected applications and data, integration in the agentic era demands seamlessly connecting applications and data with complex agentic systems in order to build intelligent systems and flows.

Companies used to be human institutions supported by digital tools. They are becoming computational systems supported by humans.

Send warehouse-powered audiences to every ad platform with a single click.

A new CLI command that scaffolds AI-ready Connector SDK projects in seconds.

How AI pair programming changes the way developers design, build, and ship data connectors.

Software development is complex, but your workflow doesn't have to be. As teams grow and projects scale, it's important to manage the frequent integration of code changes from multiple developers into a shared source code repository. Modern DevOps practices, including Continuous Integration, become essential for maintaining speed without sacrificing quality. In this blog, we explain what is continuous integration (CI), how continuous integration works, and how to successfully implement it.

Why the catalog matters, how to configure it with popular query engines, and the essential best practices every data engineer should follow.

Agentic AI enables you to do what you simply couldn’t before, like making sense of and responding to everything ever said about your product.

See how AI Columns in Fivetran Activations transform scattered customer signals into clear scores, summaries, and talking points.