Choose a tutorial track

Each track points into the existing archive. Articles were written at different times and may use older library versions. Check the article date and the current project documentation before installing dependencies. Track links reviewed September 29, 2026; individual commands have not been retested.

Start with SQL and Python

Before you begin: A terminal, Python 3, and a local SQL environment.

  1. Learn the query basics
  2. Practice data transformations
  3. Build a small pipeline

Checkpoint: You can ingest a small dataset, query it, and explain the transformation.

Build an open lakehouse

Before you begin: Comfort with SQL, containers, and object storage concepts.

  1. Understand Apache Iceberg
  2. Explore catalogs and governance
  3. Work through lakehouse patterns

Checkpoint: You can sketch a storage, table, catalog, and engine stack and identify its tradeoffs.

Develop with AI agents

Before you begin: Basic programming, Git, and an understanding of tool permissions.

  1. Review agentic AI concepts
  2. Explore developer workflows
  3. Add evaluation and approval checks

Checkpoint: You can describe an agent workflow with bounded tools, approvals, and verifiable results.

Search the full archive →