Model Tracing

Définition

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Model Tracing and Lineage

Data lineage is the story behind the data. It tracks the data from its creation point to the points of consumption. This pipeline of dataflow involves input and output points, transformation and modeling processes the data has undergone, record analysis, visualizations, and several other processes which are constantly tracked and updated.

The objective of data lineage is to observe the entire lifecycle of data such that the pipeline can be upgraded and leveraged for optimal performance.

Data lineage focuses specifically on the data by tracking its journey including the origins, destinations, transformations, and processes it has undergone, data provenance additionally tracks all the systems and processes that play a part in influencing the data.

So, Data Lineage takes care of data about the data (metadata), while Data Provenance takes care of the information about the processes that influence the data.

Source : neptune