[In Person] Data exploration in semantic and lightning-fast data notebooks

Terminal Abashidze - 36, 34 Irakli Abashidze Street Tbilisi, 1072 - View Map Python & Machine Learning Squad
Fri, Jul 15, 6:30 PM (GMT+4)

5 RSVP'ed

About this event

How complex was the last Jupiter notebook you worked with? How rewarding was that experience? Even once, did you wish the data to load and process faster? In this talk, we’ll explore how modern data notebooks such as Deepnote, Hex, Observable, and Jupiter can be used together with Cube (cube.dev), an open-source headless BI platform, to explore billion-row datasets in a high-level and semantic way. You’ll learn how to remove unnecessary complexity from your notebooks and unnecessary waiting time from your workflow.

When

Friday, Jul 15
6:30 PM - 8:30 PM (+04)

Where

Terminal Abashidze
36, 34 Irakli Abashidze Street Tbilisi1072

Organizer