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Data Engineer

Build scalable data pipelines: ETL/ELT, data warehouses, Apache Spark, Airflow, dbt, Kafka and modern data architectures.

7 moduli 22 argomenti ~18h totali

Programma del Corso

Key concepts: structured data, formats, storage and lifecycle.

  • 1

    Data Types and Formats

    CSV, JSON, Parquet, Avro, ORC, Arrow in-memory.

    40 min
  • 2

    Advanced SQL

    Window functions, CTEs, PIVOT, EXPLAIN ANALYZE.

    55 min
  • 3

    Python for Data

    Pandas, Polars, NumPy, profiling, type hints.

    50 min
  • 4

    Data Lake vs Data Warehouse

    Differences, lakehouse architecture, Delta Lake.

    40 min