Datakin observes the movement of data through your pipelines, tracing relationships between datasets and making it easier for you to find, fix, and prevent issues.

Lineage metadata is most useful when it's fresh and accurate. Datakin integrates with common tools like Apache Airflow and Spark to capture detailed information in real-time.

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Peter Hicks

Job runtime is a powerful metric. Datakin lets you to study how runtime changes over time, or how delayed jobs affect the rest of your pipeline.

Ross Turk
Ross Turk

Last week, Matt Turck and John Wu published their (mostly) annual report on the state of data, the 2021 Machine Learning, AI and Data (MAD) Landscape. We would like to share some observations of our own.

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