Dagster Tutorial: Dagster Installation and Getting Started with Asset
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- Опубликовано: 5 июл 2024
- Dagster Tutorial: Dagster Installation and Getting Started with Asset
#DagsterTutorial #DagsterInstall #DagsterGettingStarted #DagsterAsset
========== VIDEO CONTENT 📚 ==========
In this video, I will walk you through how to install Dagster on both macOS and Windows. I start by verifying Python versions, creating virtual environments, and installing necessary packages for Dagster.
You'll witness the creation of a Python file to define your very first Dagster asset. I will also explain the core concept of assets in Dagster, illustrating how to enhance asset information with descriptions and logs. By the end of this tutorial, you'll have a solid grasp of Dagster installation and asset creation, empowering you to manage assets effectively in the Dagster web interface.
GitHub Repo: github.com/coder2j/dagster-tu...
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Subscribe, like, and share this video if you find it valuable. Leave a comment to let us know what topics you'd like to see in our next tutorial. Thanks for watching, and stay tuned for more data engineering and data science content! 🚀
Want to learn more?
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========== T I M E S T A M P ⏰ ==========
Throughout the course, you will learn:
00:00 - Intro
00:14 - Install Dagster on macOS
01:14 - What is Dagster Asset?
02:43 - Install Dagster on Windows
03:55 - Dagster Asset Materialization
07:17 - Add Descriptions to Asset
08:01 - Use logger from Dagster AssetExecutionContext
========== L I N K S 🔗 ==========
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========== Connect with me 👏 ==========
Twitter 👉 / coder2j
Website 👉 coder2j.com
GitHub 👉 github.com/coder2j
Yeah, this is great! Far better than the official tutorials or dagster university...
Thank you!
Thank You! Please do full tutorials for Dagster!
I hear you. More is coming. What specific do you want me to cover about dagster?
@@coder2jhonestly as much as possible, cause I hate Airflow lol
Hi, This tutorial is good .. I would love to have more indepth knowledge in Dagster as i am thinking this would be the feature of Orchestration as well as ingestion tool.
Thank you for the tutorial. I have learned a lot from your videos.
You are welcome 🤗
thanks you, I would like more Dagster videos please
Yes, this is just the start of the series. What specific do you want to learn about Dagster?
This is really good for an intro video. Looking forward to more videos about dagster. A comprehensive playlist would be appreciated including deployment for production in AWS for example. Subscribed!
Noted! Thanks for the feedback.
This is a fantastic tutorial! Thank you coder2j. I would appreciate it if you can show us how to add dependencies and add a schedule to, creating a data pipeline.
Agree, I am confused on the folder structure and definitions.
Will address that.
Thanks for the feedback.
Wonderful.. Dagster though not as great as Airflow, but installable on Windows. Thats great about it.
Why am I not getting messages in stdout and stderr? Some log files are missing?
How do you log the messages?
I'm not sure, how I logged the messages. How can I check it?@@coder2j
I have the same thing
same here. do you get the way to rectify it?
I had this error "Failed building wheel for pendulum"
Please check the Dagster version, it could be some of the packages versions are not compatible.
@@coder2j i have the same error, my code is the same that yours
What is your python version? And dagster version?
What to choose in 2024? Dagster or Airflow?
If you want a mature and industrial standard solution, go with airflow. If you want to learn something new and simple to get started, try with Dagster.