Python ELT with dlt: Zero to Hero workshop
We are offering a zero-to-hero workshop for learning ELT, dlt and advanced features around it. The goal is to have you walk away with the ability and understanding to build robust ELT pipelines. This will essentially upskill your Python EL ability from just learning to senior data (platform) engineer level.
Upon completion of both parts, along with their respective homework and evaluations, you will receive a dltHub "ELT Engineer" certification.
If you cannot make one of the scheduled sessions, sign up anyway, you will get the recording and be able to take the certification with everyone else.
Target audience: Data platform engineers, Python First data engineers, Python normies who want to learn best practice data engineering
Part 1: dlt Fundamentals (2h)
Date: 19.09.2024 | Location: Online |
Time:
Berlin 6 PM //
Pacific Time (PDT): 09:00 AM //
Eastern Time (EDT, UTC-4): 12:00 noon
A 2-hour workshop for a deep understanding of how dlt works, creating your first pipeline, exploring sources, resources, and destinations, and learning about incremental loading, state, schema management, and metadata.
Each workshop includes a separate channel in our Slack Community for support and close communication.
Homework assignment that will be reviewed and feedback provided.
This hands-on session is designed for data enthusiasts, engineers, and developers looking who just started their journey with dlt.
Part 2: dlt Go-to-Production (2h)
Date: 26.09.2024 | Location: Online
Time:
Berlin 6 PM //
Pacific Time (PDT): 09:00 AM //
Eastern Time (EDT, UTC-4): 12:00 noon
In this 2-hour workshop, we'll cover transferring pipelines from local development to production, creating sources with REST API clients, implementing custom destinations, and utilizing custom incremental loading strategies.
We'll also explore performance optimization, schema configuration, logging, retries, staging, deployment using Lambda, Airflow, Dagster, and integrating dbt models within dlt workflows.
This advanced session is designed for data professionals who already have experience with dlt and are looking to transfer pipelines from local development to production.