[ウェビナー] Confluent で Apache Kafka の基礎をマスター | 今すぐ登録

What Is Data Flow?

__Also commonly known as data movement, data flow refers to how information moves through a system. Like a roadmap that shows where data goes and how it changes along the way, it plays an important role in data flow programming—a style of coding focused on building systems designed for the careful handling and movement of data through various steps. __

By using data flow programming, developers can create complex systems that efficiently process data and show how it is transformed and acted upon at each step. This allows for the creation of detailed data pipelines that can move data in a specific flow direction to get the desired results.

As you’ll learn more about building pipelines with real-time stream processing and data governance capabilities can help maximize data value. That’s because data flows don’t have to just be how your systems move data—with the right approach, they can be when, where, and how you prepare data for ingestion by downstream systems and applications, unlocking powerful operational and analytical use cases.