We are talking about database internals

Join now or watch later in recording

https://www.youtube.com/watch?v=H3sxOea9qD0

Anyone from course graduates wants to collaborate on new content for 2026?

We want to update modules on dbt, streaming, and maybe others too

Please write to Alexey in slack

Today we have a workshop about docker for data engineering

The content from this workshop will be used as an update for the docker module of the course

You can join here: https://luma.com/qc5jj6c0

Or watch later in recording

Also, next week on Tuesday (16:30 Berlin time), I'll do a workshop on creating a deep research agent

Like with any AI project, most of the work is spent on data engineering:

- reliably downloading transcripts
- ingesting them into elasticsearch
- making the database available for the agent to use

That's what I'll focus on in the workshop - building a reliable data pipeline. But I will also show how to build the agent

If you're interested, you can sign up here:

https://luma.com/xbfrz1zp

Workshop is live

Join now: https://www.youtube.com/watch?v=lP8xXebHmuE

Or watch later in recording

Q&A Stream!

Link: https://www.youtube.com/watch?v=WB6b1lcguaA
Questions: https://app.sli.do/event/r22cR71X67cQ7gHacVu7LG

Join now or watch later in recording

We'll be talking about the role of analytics engineer

Join us live or watch later in recording: https://www.youtube.com/watch?v=HxMIsPrIyGQ

For people asking when the course starts: it starts next week on Monday

We will share the link to the stream here. But if you want to get a reminder, you can sign up for this event: https://luma.com/0uf7mmup

During the launch we will have a Q&A session. You can ask your question in advance using this link: https://app.sli.do/event/r22cR71X67cQ7gHacVu7LG

See you on Monday!

Hi everyone!

Our stream will start today at 17:00 CET. That's in 4 hours 45 minutes

We will have Q&A session today, and you can already ask your questions here

https://app.sli.do/event/r22cR71X67cQ7gHacVu7LG

We will share the link to the YouTube stream 5-10 minutes before the start

We're starting in 5 minutes!

Stream: https://www.youtube.com/watch?v=JgspdlKXS-w
Questions: https://app.sli.do/event/r22cR71X67cQ7gHacVu7LG

Join now or watch later in recording!

The website with documentation

https://datatalks.club/docs/

Everything is on GitHub, so if you want to help us improve the docs, we welcome contributions!

https://github.com/DataTalksClub/docs

Our slack invite link has expired

If you're trying to get into Slack, you can use this one:

http://join.datatalks.club

Module 2 is starting: Workflow Orchestration with Kestra

This week in Data Engineering Zoomcamp, we move into workflow orchestration using Kestra, an open-source, event-driven orchestrator.

Materials:

🔸 Videos
🔸 Quickstart and resources
🔸 Homework and submission form

If you run into setup issues, check the troubleshooting section in the Module 2 README and ask questions in Slack.

⏰ HW1 deadline is less than one day away

🔸 680 homework submissions
🔸 1,042 registered on the platform
🔸 25,000+ signed up for the Zoomcamp overall

If you’re registered and haven’t submitted yet, this is your nudge. Start small, submit something, and iterate.

It looks like there was an outage yesterday that also affected our course management platform some time around 18:00-19:00 CET

If you had problems submitting your homework and still haven't submitted it, you can do it today

We scored homework 1

You can see the leaderboard here:

https://courses.datatalks.club/de-zoomcamp-2026/leaderboard

Great job everyone!

On Tuesday (Feb 3) we will have office hours

Time: 17:00 CET
Place: our YouTube channel

See you soon!

Also as a part of the course we will have a workshop with dlt (data load tool)

If you want to make sure you don't miss it, you can sign up here

https://luma.com/hzis1yzp

We start Module 3 on Data Warehousing and BigQuery

Reminder: the previous homework deadline is in less than 24 hours.

This module covers:

🔸 Data warehouse fundamentals and BigQuery basics
🔸 Query performance and internals (partitioning, clustering, best practices)
🔸 Machine learning in BigQuery, including SQL for ML
🔸 Deploying models from BigQuery using Docker

Learn here: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/03-data-warehouse

We're finalizing Homework 3 and will notify you when it's ready.

Reminder: today at 17:00 CET (in 10 hours from now) we have a live stream

We will share the link 5-10 minutes before the start

See you soon!