Is ETL a front-end or back-end data engineering discipline?
ETL (Extract, Transform, Load) is a back-end data engineering process that focuses on transferring and transforming data between different systems - extracting from source databases or APIs, transforming data to fit the target schema, and loading it into data warehouses or data lakes. ETL pipelines run entirely on the server side, utilising tools such as Apache Spark, dbt, Airbyte, and Fivetran. Data visualisation layers that display ETL outputs are separate front-end components.
Related ETL Questions And Answers
- What are the main steps of the ETL process?
- What programming languages are used for ETL?
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- Will AI replace ETL developers?
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- ETL vs ELT: which approach fits modern cloud data stacks better?
- ETL vs Reverse ETL: which one drives more business impact?
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