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FreeData & Analytics

Data Engineering

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The big picture first: what data engineers actually build. Pipelines, batch vs streaming, warehouses and the modern data stack — with a hands-on tour of the core tools.

    • What data engineering is and where it fits vs data science
    • Building data pipelines and the ETL/ELT distinction
    • Batch processing with Spark and streaming with Kafka
    • Orchestration with Airflow and transformations with dbt
    • SQL, CRON jobs and moving data with Airbyte