Remove Data Architecture Remove Data Management Remove Data Programming Remove Metadata
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Build Maintainable And Testable Data Applications With Dagster

Data Engineering Podcast

In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming. If you are building dataflows then Dagster is definitely worth exploring.

Building 100
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Keeping Your Data Warehouse In Order With DataForm

Data Engineering Podcast

Dataform is a platform that helps you apply engineering principles to your data transformations and table definitions, including unit testing SQL scripts, defining repeatable pipelines, and adding metadata to your warehouse to improve your team’s communication. Visit Datacoral.com today to find out more.

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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

ML models are designed by data scientists, but data engineers deploy those into production. They set up resources required by the model, create pipelines to connect them with data, manage computer resources, and monitor and configure the model’s performance. Managing data and metadata. Programming.