adatnyomkövetési

Adatnyomkövetés, often translated as data lineage or data tracing, refers to the process of understanding, recording, and visualizing data as it flows from its sources to its consumption. This involves tracking the origin of data, the transformations it undergoes, and where it is used. The goal is to provide a comprehensive audit trail of data's lifecycle.

This practice is crucial for data governance, compliance, and debugging. By understanding data lineage, organizations can ensure data quality, identify the root cause of errors, and demonstrate adherence to regulations like GDPR or CCPA. It allows users to trace data back to its original source, verifying its accuracy and trustworthiness.

Adatnyomkövetés solutions typically involve metadata management and specialized tools that capture information about data movement and changes. This can include tracking database queries, ETL (Extract, Transform, Load) processes, and data warehouse operations. The visualized lineage often appears as a graph, showing dependencies and data flow paths.

In essence, adatnyomkövetés provides transparency and accountability for data assets. It empowers data professionals to make informed decisions, build trust in their data, and manage complex data environments more effectively. Without it, understanding how data arrived at its current state, and whether it can be trusted, becomes a significant challenge.