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Version: devel

Advanced dlt 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 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 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 Colab GitHub badge​

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

Lesson 4: Custom Destinations – Reverse ETL 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 LoadOpen 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 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 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.

Lesson 8: Logging & Tracing 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 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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