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Data Engineering Zoomcamp

Data Engineering Zoomcamp

前往频道在 Telegram

📈 Telegram 频道 Data Engineering Zoomcamp 的分析概览

频道 Data Engineering Zoomcamp (@dezoomcamp) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 30 239 名订阅者,在 教育 类别中位列第 6 419,并在 马来西亚 地区排名第 1 167

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 30 239 名订阅者。

根据 17 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 149,过去 24 小时变化为 -5,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 27.51%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0

📝 描述与内容策略

尚未提供频道描述。

凭借高频更新(最新数据采集于 18 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

30 239
订阅者
-524 小时
+77
+14930
帖子存档
The Data Engineering Zoomcamp 2026 has officially wrapped up! You had 3 chances to submit your final project and review 3 peers. Congratulations to the 581 participants who successfully completed the course and earned their certificates! If you're one of the graduates, you can find your well-deserved certificate in your course enrollment profile. We encourage you to celebrate this milestone by sharing it on LinkedIn! Thank you goes out to everyone who joined us on this journey. We understand that not everyone was able to finish the course this time, and that’s perfectly fine. You’ll have another opportunity to complete it in a new cohort next year. Thank you all for contributing to the learning experience of this course and DataTalks.Club community overall. We appreciate your hard work!

Repost from LLM Zoomcamp
I'm starting a workshop series to update the content of LLM Zoomcamp. Each workshop will update the content of one course module: ​May 11: Build Your First RAG Application May 18: From RAG to AI Agents: Function Calling and Tool Use May 21: Vector Databases May 27: RAG and Agents Evaluation June 3: Monitoring LLM Applications

Now Data Engineering Zoomcamp is almost over and I'm focusing on updating LLM Zoomcamp - the course about using GenAI, RAG and Agents We will have multiple workshops prior to the course start date which will be used as the videos for the course when it starts The first one is today. Join me if you're interested in GenAI!

If you submitted your project for the last attempt, now it's time to evaluate your peers You can find the assignments here: https://courses.datatalks.club/de-zoomcamp-2026/project/project3/eval Have fun!

Judging by the questions in Slack, I realize that our documentation may be not complete or straightforward I reorganized it a bit and here it is https://datatalks.club/docs/courses/zoomcamp-logistics/ I hope you fill find the answers to your questions (especially around projects and peer reviews)

Some of you forgot to submit the project, and some of you forgot to do peer reviews. I see from Telegram and Slack that there are quite a few of you in this situation. For those who already have a project but haven't submitted it yet, we have opened a third attempt. It has a very strict deadline, so you won't have time to develop a new project. You can only submit the existing one. https://courses.datatalks.club/de-zoomcamp-2026/project/project3 Good luck!

The certificates are ready! You'll find them in your enrollment profile for the course Don't forget to share them on LinkedIn! Thanks everyone for being a part of this course!

photo content

The form for submitting the second attempt is now closed. Now time to learn from your peers! If you submitted a project for attempt 2, you'll find the project review assignments here: https://courses.datatalks.club/de-zoomcamp-2026/project/project2/eval Have fun!

We have just scored project attempt 1 Congratulations to the 269 course participants who passed it! We will release the certificates for you later along with the second batch If you haven't passed it, you can improve it and submit one more time Note that if you did pass the project, submitting it again (even with improvements) is considered self-plagiarism. Please don't do it. But you can submit another project if you want Also if you haven't made a submission for attempt 1, attempt 2 is still open: https://courses.datatalks.club/de-zoomcamp-2026/project/project2 Have fun building!

Great job working on your projects! Now it's time to learn from your peers If you submitted your project for attempt, you will find your review assignments here: https://courses.datatalks.club/de-zoomcamp-2026/project/project1/eval If not - you still have time for attempt 2. Have fun!

A quick update: the Bruin project competition is now open to everyone! This means your submission does not have to be the same as your Zoomcamp final project. Even if you are not participating in the course, or if you are using other tech for your Zoomcamp final project, you can still build a separate project with Bruin, submit it to the competition, and compete for prizes. Prizes: 🔸 Mac Mini for an outstanding project 🔸 1 year Claude Pro for the top 3 projects 🔸 1 month Claude Pro for participants Deadline: Monday, June 1st, 12:00 UTC More details here: getbruin.com/competition

Build your project using Bruin for ingestion, transformation, orchestration, and analysis, share it with the community, and compete for prizes. Prizes: 🔸 Mac Mini for an outstanding project 🔸 1 year Claude Pro for the top 3 projects 🔸 1 month Claude Pro for participants To participate: 🔸 Build your Zoomcamp project using Bruin 🔸 Publish it on GitHub with a README 🔸 Share it in #projects on Slack Winners will be determined by community votes on Slack. Learn more here: https://getbruin.com/zoomcamp-project/

It’s time to apply everything from the course and build a complete end-to-end data pipeline. Your goal is to create a dashboard with two tiles, powered by a pipeline you design yourself. The project takes you through the full workflow: from raw data to a working visualization. 🎥 Watch the Projects how-to video for the full walkthrough and start building. 🏆 Tip: Use Bruin in your project to participate in the competition and win prizes. Details below.

I just realized we haven't shared the homework for streaming https://github.com/DataTalksClub/data-engineering-zoomcamp/blob/main/cohorts/2026/07-streaming/homework.md The deadline is moved to 20 March

We're starting module 7 on stream processing. Reminder: the previous homework deadline is in less than 24 hours. The materials were created by Zach Wilson, who ran a Flink stream for the course last year. Alexey recorded an updated Apache Flink workshop to reflect support for Flink 2.x and modern Python versions (3.12, 3.9, 3.8). It covers: • Streaming fundamentals in Data Engineering Zoomcamp • Kafka/Redpanda, Python producers and consumers • Writing streaming events to PostgreSQL • Apache Flink setup with Docker • Flink jobs for stream processing • Windowing, watermarks, and late events • Real-time aggregations with Flink Homework deadline: 17 March, 12 AM CET Learn here: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/07-streaming

We're starting our stream about streaming! This is going to be a part of module 7 about streaming - and reworked workshop from the last year with the latest versions of PyFlink Stream: https://www.youtube.com/watch?v=YDUgFeHQzJU Workshop: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/07-streaming/workshop Watch now or later in recording!

We uploaded the video about creating projects to YouTube, as some of you reported having problems with watching in on Loom Here it is: https://www.youtube.com/watch?v=BL0E8xO8OnE We'll also update it in the repo And by the way, don't forget about our docs: https://datatalks.club/docs/courses/data-engineering-zoomcamp/ There's a lot of useful information there

This week, we're starting Module 6: Batch Processing. Reminder: the previous homework deadline is in less than 24 hours. In this module, you'll learn how batch processing works with Spark and PySpark. You'll cover: • Batch processing fundamentals and Spark basics • Installing and running Spark locally or in Colab • Working with Spark SQL and DataFrames • Handling schemas and processing NYC taxi data • How Spark clusters, joins, and groupBy work internally • Running Spark in the cloud with Dataproc and BigQuery Homework deadline: 10 March, 12 AM CET We also recently had a workshop with dlt on AI-assisted data ingestion. Watch the recording and check out the code if you missed it. Practice what you learned in the homework assignment, and submit it here.