Lessons learnt from PySpark Notebooks and extracting APIs

Notebooks inside Fabric are a high-speed solution for data transformation, and APIs are a great data source and are provided by many systems. So, it is great to have the ability to download and shape their data by PySpark for other Fabric purposes.

In this session, I will show my lessons learnt from Notebooks and API extractions. A session is aimed even for beginners who have never worked with APIs or Notebooks. I will show what libraries are required and how to create a User Define Function that can be very handy for more complex transformations.

Štěpán Rešl

Data Platform MVP | Managing partner & Lead technical consultant at DataBrothers

Prague, Czechia


Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top