Introduction to Scaling Analytics Using DuckDB with Python

[@banihas22]

Excellent intro of DuckDB! I love how you setup with an overview to give better context ❤

[@mathewrtaylor]

Thanks for the introduction to a new tool. Was able to parse through a ton of info (5+ million rows) into a few tables in less than a minute, and start analysis in SQL super quickly. Appreciated your commentary throughout as well. Thanks for unlocking a new tool for me; it has tons of potential and will be well used!

[@BryanCafferky]

Great! That's awesome! You're Welcome!

[@AhmdsYT]

Hey Bryan, appreciate you doing this tutorial! 🙌🏼

[@bottle0ketchup211]

Awesome video, appreciate your knowledge sharing as always!

[@maxl1448]

Great Video. Thank you Bryan. DuckDB is a fantastick thing.

[@phillipdataengineer]

Learning so some with your videos! F* awesome man thank you!

[@BryanCafferky]

Glad they are helping.

[@JavierLuraschi]

DuckDB = Awesome!

[@BryanCafferky]

Hi Javier, Yes. It is incredible.

[@eduardokorbesbinotto106]

Nice video! Have you tryed to run duckdb on databricks? Does this makes sense? Thanks!

[@BryanCafferky]

It does make sense. Using DuckDB on the driver node could allow much larger datasets to be processed at a high speed. I plan to try it.

[@eduardokorbesbinotto106]

Great! Please make a video about it, it would be awesome to know how it performs against processing data with spark

[@FlyingColors1]

Sir Do a series on Azure databricks

[@BryanCafferky]

It is right here kzbin.info/aero/PL7_h0bRfL52qWoCcS18nXcT1s-5rSa1yp

[@KrisKoirala]

can we see databases/tables created like we see in SSMS?

[@BryanCafferky]

See the link in the video description to DBeaver, a SQL Database UI that supports many database products including DuckDB. Yes, using DBeaver, you can browse DuckDB objects.

[@jaguarprovo]

I gotta know what’s your server setup or laptop now. You bragged and I heard it

[@BryanCafferky]

My laptop has 64 GB of RAM and 2 TB SSD. Its actually pretty old now but still very fast.