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Data engineering can be completely open source! You don’t need to rely on many platforms aside from maybe S3! - compute: Spark - data lake format: iceberg - orchestrator: Airflow, Mage or Dagster You can get far with just these three!

15,628 views • 1 year ago •via X (Twitter)

10 Comments

VJ's profile picture
VJ1 year ago

@mage_ai @dagster For a minute, I thought you were rapping.

The Information's profile picture
The Information1 year ago

OpenAI is betting on a little-known startup to stay ahead of Elon Musk in the supercomputer race.

Data Bass Engineer's profile picture
Data Bass Engineer1 year ago

@mage_ai @dagster I’d rather use open source tools so I can spend my money on Fat chainz

Zach Morris Wilson's profile picture
Zach Morris Wilson1 year ago

@mage_ai @dagster Spoken like a true Data Bass Engineer

November's profile picture
November1 year ago

@mage_ai @dagster Love the chain bro 😎

Alex Noonan's profile picture
Alex Noonan1 year ago

@mage_ai @dagster Dagster

bhavit sharma's profile picture
bhavit sharma1 year ago

@mage_ai @dagster nice jacket dude

DataEngDude's profile picture
DataEngDude1 year ago

@mage_ai @dagster death to #iceberg long live #deltalake

Tom's profile picture
Tom1 year ago

@mage_ai @dagster Spark is not compute!

👾's profile picture
👾1 year ago

@mage_ai @dagster Do you like Dagster?

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