mz-hack-day-2022 VS Mage

This is state-of-the-art Kappa Architecture: Redpanda as a fast, durable log; Materialize for SQL based streaming; and dbt for dataOps. This stack combines speed, ease of use, developer productivity, and governance. Best of all, you do not need to invest in setting up a large infrastructure: this entire stack can be packaged to run as a single Docker Compose project in your own laptop or workstation. You can try it out for yourself using this sample project.

Hey all! Long-time reader, first-time poster. I'm on the team at Materialize and wanted to invite folks to our dbt + Redpanda + Materialize hack day coming up on February 17th. We'll be providing a sample streaming pipeline that you can easily docker-compose up with some tips about how to make the project your own. If you've been thinking about bringing streaming to your organization, this hack day is for you!

In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.

Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer

I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home

You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.

Try this feature: https://github.com/mage-ai/mage-ai/issues/1166

Seeing if we can use it in https://github.com/mage-ai/mage-ai

That being said there’s a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isn’t well documented yet, and also https://www.neuronsphere.io - which doesn’t have a public solution YET (they’re internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)

7️⃣ mage-ai/mage-ai

Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3