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Data Engineering: Ingestion Foundations (W4)

Intermediate

The data engineering layer beneath dbt. How data actually gets into the warehouse, how pipelines are orchestrated, and how to keep them reliable. Ingestion patterns (batch, CDC, streaming), tools (Fivetran, Airbyte, Meltano), orchestration (Airflow, Dagster, Prefect), data quality and observability, streaming basics (Kafka, Pub/Sub), Spark for DE, and lakehouse file formats (Parquet, Iceberg). Six end-to-end pipeline cases. Builds on the SQL, dbt, and Data Modeling courses; completes the DE track.

Data Engineering: Ingestion Foundations (W4)
Duration

4 weeks

Content

3 modules, 17 lessons

Students

0

Total Time

~6 hours

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Course Curriculum

2

Ingestion and OrchestrationFREE PREVIEW

Ingestion patterns (batch, CDC, streaming); managed tools (Fivetran, Airbyte, Meltano) and when to build vs buy; Apache Airflow deep dive; modern orchestrators (Dagster, Prefect); scheduling, backfills, and idempotency.

110 min5 lessons
3

W4 Ingestion Lab — API to Parquet to WarehouseFREE PREVIEW

Graded Week-4 build: API/files -> Parquet -> warehouse with fixtures and a starter.

180 min3 lessons
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