PyData Mannheim 🧦 🤯 Elevating Parquet 🚀|🌟 Enhancing Predictive Models 🤖

DataScience and AI: in person in Mannheim and live on PyData.TV on YouTube

Agenda
18:00 Doors open
18:30 Welcome
18:45 Going beyond Parquet's default settings – be surprised what you can get - Uwe Korn (QuantCo)
19:15 Break: Networking with snacks and beverages
20:15 Profiling and Optimising Model Prediction Services -Paolo Rechia (Schwarz IT)
20:45 Lightning Talks
21:00 Networking with snacks and beverages
21:30 End

Lightning Talks
Join us by contributing a five-minute lightning talk!
Fill out this form.

How to sign up for on site
It's important for us to make this meet up happen in a responsible way. We have limited seats available only.
No limits to sign up remotely!

How to join remotely
Join the live stream on YouTube.

This event will be in English.
----
Talk #1
Uwe L. Korn (QuantCo)
Going beyond Parquet's default settings – be surprised what you can get
Apache Parquet has become the de facto format for storing tabular (DataFrame) data on disk. This is done through universal compression and efficient knowledge of the stored data structure. As part of this talk, we would like to show the core structure of Parquet and the knobs that allow you to get even more of the capabilities of the file format.

Uwe Korn is a CTO at the data science company QuantCo. His expertise is in building scalable architectures for machine learning services and the teams & culture around them. Nowadays, he focuses on the data engineering infrastructure that is needed to provide the building blocks to bring machine learning models into production. As part of his work to provide an efficient data interchange, he became a core committer to the Apache Parquet, Apache Arrow and conda-forge projects.

Talk #2
Profiling and Optimising Model Prediction Services
Paolo Rechia (Schwarz IT)
Over the past year, Paolo had the opportunity to address performance issues several times, especially in scenarios involving real-time model predictions. Interestingly, in both instances, he found that the slow down was not due to the model prediction itself, but rather steps that occurred beforehand. He is eager to share the step-by-step investigation process he followed and how he successfully resolved these issues.

Paolo is a AI Product Engineer / Data Engineer at Schwarz IT. Paolo has a deep passion for computer programming and is always eager to learn new technologies and ideas. His primary interests lie in algorithms, software engineering, and machine learning.

----
Lightning Talks:
1. Jakob Miksch - Handling Geodata with GDAL/OGR
2. Benedikt Prisett - Prompt Injections
3. Simon Pressler - Paying in Forward: Trust in Communities

Acknowledgements
Also a big thank you to our sponsors:

• SNOCKS, for hosting the meetup.
• PIONEERS HUB, for organising.
• NUMFOCUS, for promoting open source software.

Contact
If you have any questions or suggestions, please feel free to contact us via:

• Meetup
• Want to speak? Submit a talk here.
• Interested in hosting an event? Here's our Info-Deck & contact to the organisers!