Why Not To Be A DataOps Engineer?!
Are you thinking about jumping into DataOps Or just curious what all the hype is about
In this episode, Chris dives deep into why DataOps is not all sunshine and rainbows. From the real challenges of the job to the toolbox every DataOps engineer relies on, you’ll get the honest truth... and a few laughs along the way.
Timestamps
00:00 – Why NOT to Be a DataOps Engineer!
01:00 – What is DataOps (Really)
02:00 – The Hard Truths It’s Not All Automation
03:30 – The Tools Behind DataOps
05:00 – Why Some People Love It Anyway
06:00 – Q&A Your DataOps Stories and Questions
Mentioned tools
Airflow, dbt, Great Expectations, Orchestra, Terraform, Prefect, Monte Carlo, DataKitchen, Dagster, YAML, Git, Bash, Python, and more.
Did this video help Have a DataOps war story or a burning question Drop it in the comments! If you want a checklist to see if you’re ready for DataOps, grab the download below!
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