Where can I learn partitioning?

Partitioning is taught across 3 courses on Petascale Labs, including "Backfill Strategies for Lakehouses". The first chapter of every course is free to read, no account needed.

What concepts are related to partitioning?

Closely related topics include backfills, idempotency, apache spark, broadcast variables, data contracts.

Topic

Partitioning

Partitioning shows up across 3 courses in 3 layersof the data platform stack. Here's where it's taught, a free way to practice it, and what to learn next.

Where it's taught

Ingestion & Transport

Backfill Strategies for Lakehouses

Partition-aware, idempotent backfills into Iceberg/Delta alongside live streams, with reconciliation.

10 ch · 3h 30m

1 free

Compute Engines

Apache Spark: Fundamentals

RDDs, DataFrames, Spark SQL, joins, window functions, and production batch pipelines.

20 ch · 6h 40m

1 free

Orchestration & Pipelines

Building Pipelines That Don't Page You

Idempotency as a design choice, backfill as a first-class API, small DAGs with sharp edges, contract tests at the source, partitioning for the reader, dead-letter queues for data, where to put state, and how to design for a one-engineer team. The build-side answer to every failure mode in this stratum.

8 ch · 1h 29m

1 free

Start learning partitioning free

The first chapter of every course is free to read — no account needed.

Start: Backfill Strategies for Lakehouses →All strata

Where it's taught

Related topics

Start learning partitioning free