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PyData Trójmiasto #20

Wydarzenie:
PyData Trójmiasto #20
Typ wydarzenia:
Spotkanie
Kategoria:
IT
Tematyka:
Data:
19.10.2022 (środa)
Godzina:
18:00
Język:
angielski
Wstęp:
Bezpłatne
Miasto:
Miejsce:
Olivia Star
Adres:
Aleja Grunwaldzka 472C
Agenda:
  • 18:00 - 18:05 meeting boarding
  • 18:05 - 18:10 about PyData Trójmiasto
  • 18:10 - 18:15 Nike's introduction
  • 18:15 - 18:55 Franz Kafka and BigData (talk + Q&A)
  • 18:55 - 19:35 Unlock Machine Learning at Scale Using SageMaker (talk + Q&A)
  • 19:35 - ... Pizza & networking
Opis:

We are happy to welcome everybody to 20th PyData Trójmiasto meetup prepared together with Nike!

The event is hosted by Nike at Nike PTC Office, Olivia Business Centre!


[IMPORTANT] Please register officially HERE (https://lnkd.in/di2rm2_a ).


About Nike and the talks:

NIKE, Inc. is a technology company. From developing products, managing big data, and providing leading-edge engineering and systems support, our teams at NIKE Global Technology reimagine the future at the confluence of tech and sport.

Together with PyData Trojmiasto, we would like to invite you to our first Meetup in Gdansk, where two of our Principal Engineers will be presenting on Big Data & Machine Learning.


Franz Kafka and BigData by Szymon Scharmach

Today, enormous amounts of data are being generated everywhere, live streams, more and more devices are connecting to the internet daily. The first need in Big Data applications is to solicit data from multiple sources and store them in a central repository. Apache Kafka can help out with that by providing a unified way to connect all that systems and send messages/events in a consistent way. This presentation will try to outline some of the design patterns and common pitfalls related to using Apache Kafka in Big Data.


Unlock Machine Learning at Scale Using SageMaker by Olgun Aydin

Machine Learning models have been everywhere in daily routines and companies, institutions are even investing more to unlock machine learning capabilities to automate processes, provide better customer experience or optimize their work in a more efficient way. Having said that demand for scalable, highly available environments for end-to-end machine learning pipelines have been increasing. In this talk, focus will be describing machine learning lifecycle, showing how to use SageMaker for this purpose.



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