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UID:pretalx-pycones-2024-KJYD98@pretalx.com
DTSTART;TZID=CET:20241005T150000
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DESCRIPTION:Let’s say you want to create a realtime visualization of a Ka
 fka data stream. Maybe you want to process it with FlinkSQL before visuali
 zing it.\n\nYour keyboard clatters\, “mkdir data_viz_with_kafka_and_flin
 ksql”. You cd in\, activate your virtual environment\, crack your knuckl
 es\, and… the complexities hit. How to create open connections to your d
 ata stream? Feed the data into a frontend component? What happens when mul
 tithreading rears its ugly head? Your feelings of bravado slowly dissipate
 … 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 Streamli
 t. It’s sourced from the Alpaca API\, before being sent to Kafka and pro
 cessed with FlinkSQL for surfacing the Streamlit component. We’ll go thr
 ough the ins and outs of creating Kafka producers and consumers in python\
 , processing realtime data via windowing using FlinkSQL in Confluent Cloud
 \, and visualizing that data clearly for an audience using a component bui
 lt with Streamlit. \n\nBy the end of the talk\, attendees will be confiden
 t in creating live data visualizations using Kafka\, FlinkSQL\, and Stream
 lit and be equipped to take their realtime use cases to the next level.
DTSTAMP:20260314T015104Z
LOCATION:Poalla
SUMMARY:Visualize Realtime Stock Market Data with Kafka and FlinkSQL - Luci
 a Cerchie
URL:https://pretalx.com/pycones-2024/talk/KJYD98/
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