Must know Docker Commands for every Data Engineering
In essence, Docker is a tool that aids data engineers in the packaging, distribution, and consistent operation of applications.
Databases, processing engines, and API services are regularly launched by data engineers. The flags in the docker run command are crucial.
docker run
docker build
Custom images loaded with programs like PySpark, Airflow, or machine learning libraries are frequently required by data engineers.
docker exec
This allows data engineers to test scripts, run ad hoc queries, and examine databases without having to restart containers.
docker logs
Logs are essential for debugging failed tasks (such as Spark jobs or Airflow DAGs), and the -f flag helps diagnose runtime problems by streaming logs in real-time.
docker stats
Sustaining optimal performance in data pipelines requires effective resource monitoring.
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