Data Lineage and Feature Stores

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What is Data Lineage and Feature Stores?

Data Lineage refers to the life-cycle of data, including its origins, movements, characteristics and quality. It's a critical component in MLOps for tracking the journey of data through every process in a pipeline, from raw input to model output. Data lineage helps in maintaining transparency, ensuring compliance, and facilitating data debugging or tracing data-related bugs. It provides a clear representation of data sources, transformations, and dependencies, thereby aiding in audits, governance, or reproduction of machine learning models.

Free resources to learn Data Lineage and Feature Stores

More in stage 1: What is MLOps?

Data Lineage and Feature Stores: common questions

Can I learn Data Lineage and Feature Stores in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Data Lineage and Feature Stores in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Data Lineage and Feature Stores tutorial for beginners?

It is lesson 8 of 62 in the free MLOps roadmap, in stage 1, What is MLOps?. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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