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hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
docs.getdbt.com reviews and mentions
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The Data Engineering Docker-Compose Starter Kit
Consider adding a Python producer service or producing messages directly from Mage. With Mage, you can even set a trigger to launch the pipeline for every new file on s3. Interested in running a dbt project? You can do it in the Mage pipeline on top of the MySQL database. If MySQL isn’t your favorite, swap it out for Postgres or Mongo. Essentially, there’s a wide range of options for adjusting and enhancing these services.
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Launch HN: DAGWorks – ML platform for data science teams
allowing users to write imperative code (e.g. using loops) that dynamically generates DAGs are never a good idea. I say this as someone who personally used to pester framework PMs for this exact feature before. While things like task groups (formerly subDAGs) [2] appear initially to be right answer, I always ended up regretting them. They're a scheduling/orchestration solution to a data transformation problem
Can y'all speak to how Hamilton views the data and control plane, and how it's design philosophy encourages users to use the right tool for the job?
p.s. thanks for humoring my pedantry and merging this! [3]
[1]: https://github.com/dbt-labs/docs.getdbt.com/pull/2390
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dbt-labs/docs.getdbt.com is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of docs.getdbt.com is JavaScript.
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