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dlt Advanced Course

In this course, you'll go far beyond the basics. You’ll build production-grade data pipelines with custom implementations, advanced patterns, and performance optimizations.

Lessons​

Lesson 1: Custom Sources – REST APIs & RESTClient Open in molab Open In Colab GitHub badge​

Learn how to build flexible REST API connectors from scratch using @dlt.resource and the powerful RESTClient.

Lesson 2: Custom Sources – SQL Databases Open in molab Open In Colab GitHub badge​

Connect to any SQL-compatible database, reflect table schemas, write query adapters, and selectively ingest data using sql_database.

Lesson 3: Custom Sources – Filesystems & Cloud Storage Open in molab Open In Colab GitHub badge​

Build sources that read from local or remote files (S3, GCS, Azure).

Lesson 4: Custom Destinations – Reverse ETL Open in molab Open In Colab GitHub badge​

Use @dlt.destination to send data back to APIs like Notion, Slack, or Airtable. Learn batching, retries, and idempotent patterns.

Lesson 5: Transforming Data Before & After Load Open in molab Open In Colab GitHub badge​

Learn when and how to apply add_map, add_filter, @dlt.transformer, or even post-load transformations via SQL or Ibis. Control exactly how your data looks.

Lesson 6: Write Disposition Strategies & Advanced Tricks Open in molab Open In Colab GitHub badge​

Understand how to use replace and merge, and combine them with schema hints and incremental loading.

Lesson 7: Data Contracts Open in molab Open In Colab GitHub badge​

Define expectations on schema, enforce data types and behaviors, and lock down your schema evolution. Ensure reliable downstream use of your data. See schema contracts for what each contract mode covers.

Lesson 8: Logging & Tracing Open in molab Open In Colab GitHub badge​

Track every step of your pipeline: from extraction to load. Use logs, traces, and metadata to debug and analyze performance.

Lesson 9: Performance Optimization Open in molab Open In Colab GitHub badge​

Handle large datasets, tune buffer sizes, parallelize resource extraction, optimize memory usage, and reduce pipeline runtime.

Homework & Certification​

You’ve finished the dlt Advanced Course — well done! Test your skills with the Advanced Certification Homework.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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