Data Engineering Digest

Why teach MLOps to your Data Science Teams?

DareData

NOVEMBER 28, 2023

Furthermore, with MLflow we can tag every registered model in three different categories: Staging, Production or Archived. We will use Prefect for the explanation, but feel free to explore other alternatives like the famous Apache Airflow, Dagster, Kestra… at DareData, we love Apache Airflow!

Data Science

Data Science Medical Machine Learning Data

Using Metrics Layer to Standardize and Scale Experimentation at DoorDash

DoorDash Engineering

APRIL 12, 2023

Other metadata required for computation is also included, such as upstream table dependencies for orchestration, the lookback period for incremental computations, tags for discoverability and ownership identities. Each job run would be assigned a set of partitions that it needed to overwrite using Dagster run-config.

SQL

SQL Metadata Raw Data Government

Data Engineering Digest

Why teach MLOps to your Data Science Teams?

Using Metrics Layer to Standardize and Scale Experimentation at DoorDash

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