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UID:pretalx-pyconde-pydata-2026-HP7DLX@pretalx.com
DTSTART;TZID=CET:20260415T150000
DTEND;TZID=CET:20260415T154500
DESCRIPTION:Real-time bytestreams between systems in different organization
 s or secured environments\, whether for batch dataset delivery or continuo
 us streaming\, are surprisingly hard. Traditional solutions fall short: me
 ssage brokers like Kafka use discrete messages\, file storage like S3 work
 s for batch exchange but lacks streaming and coordination\, while HTTP cli
 ent-server approaches require one side to host and expose server endpoints
 \, introducing security and operational overhead.\n\nThis talk introduces 
 the ZebraStream Protocol: an open\, HTTP-based bytestream protocol with co
 ordination mechanisms that let you stream data—Parquet files\, compresse
 d archives\, encrypted content—directly between decoupled systems using 
 Python's file-like interface. No message framing\, no server hosting\, no 
 exposed endpoints.\n\nWe'll explore the design of a bytestream protocol fo
 r data sharing and integration that crosses the file-stream boundary\, ena
 bling seamless integration with pandas\, DuckDB\, and any Python library e
 xpecting file-like objects\, supporting use cases from ETL pipelines to Io
 T data delivery\, cross-org collaboration to home network automation.
DTSTAMP:20260412T141854Z
LOCATION:Palladium [2nd Floor]
SUMMARY:Beyond Kafka and S3: HTTP-Native Bytestreams for Python Data Pipeli
 nes - Johannes Dröge
URL:https://pretalx.com/pyconde-pydata-2026/talk/HP7DLX/
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