Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

#454: Data Pipelines with Dagster

March 21, 2024 00:58:25 56.38 MB Downloads: 0
Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs processed, filtered, transformed, distributed, and much more. One of the biggest tools to create these data pipelines with Python is Dagster. And we are fortunate to have Pedram Navid on the show this episode. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python.

Episode sponsors

Talk Python Courses
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Links from the show

Rock Solid Python with Types Course: training.talkpython.fm

Pedram on Twitter: twitter.com
Pedram on LinkedIn: linkedin.com
Ship data pipelines with extraordinary velocity: dagster.io
dagster-open-platform: github.com
The Dagster Master Plan: dagster.io
data load tool (dlt): dlthub.com
DataFrames for the new era: pola.rs
Apache Arrow: arrow.apache.org
DuckDB is a fast in-process analytical database: duckdb.org
Ship trusted data products faster: www.getdbt.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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