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SUMMARY:Visualize Realtime Stock Market Data with Kafka and FlinkSQL - Luc
 ia Cerchie
DTSTART;TZID=Europe/Madrid:20241005T150000
DTEND;TZID=Europe/Madrid:20241005T153500
DTSTAMP:20260816T195927Z
UID:pretalx-pycones-2024-KJYD98@pretalx.com
DESCRIPTION:Let’s say you want to create a realtime visualization of a K
 afka data stream. Maybe you want to process it with FlinkSQL before visual
 izing it.\n\nYour keyboard clatters\, “mkdir data_viz_with_kafka_and_fli
 nksql”. You cd in\, activate your virtual environment\, crack your knuck
 les\, and… the complexities hit. How to create open connections to your 
 data stream? Feed the data into a frontend component? What happens when mu
 ltithreading rears its ugly head? Your feelings of bravado slowly dissipat
 e… Don’t worry\, I’ve got you covered! \n\nIn this session\, we’ll
  cover how to take a stream of data in Kafka and visualize it with Streaml
 it. It’s sourced from the Alpaca API\, before being sent to Kafka and pr
 ocessed with FlinkSQL for surfacing the Streamlit component. We’ll go th
 rough the ins and outs of creating Kafka producers and consumers in python
 \, processing realtime data via windowing using FlinkSQL in Confluent Clou
 d\, and visualizing that data clearly for an audience using a component bu
 ilt with Streamlit. \n\nBy the end of the talk\, attendees will be confide
 nt in creating live data visualizations using Kafka\, FlinkSQL\, and Strea
 mlit and be equipped to take their realtime use cases to the next level.
LOCATION:Poalla
URL:https://pretalx.com/pycones-2024/talk/KJYD98/
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