ETL Pipelines Interactive Guide
From extraction strategies and transformations to loading, orchestration, data quality, and idempotency — with hands-on examples, MCQs, and coding challenges.
Extract → Transform → Load
The classic ETL spine: getting data out, reshaping it, and getting it into the warehouse — with the trade-offs of each stage.
Orchestration & Scheduling
DAGs, dependency management, retries, and backfills — how pipelines actually run on time, in order, and recover when things fail.
Data Quality & Idempotency
Validation, integrity checks, and making every run safe to re-run — because pipelines WILL run twice.