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UID:pretalx-europython-2024-FYHQUE@programme.europython.eu
DTSTART;TZID=CET:20240712T143500
DTEND;TZID=CET:20240712T150500
DESCRIPTION:Bloomberg is a leading provider of financial data\, with inform
 ation spanning multiple decades. Handling and organizing these huge datase
 ts can be challenging\, with typical concerns including sluggish query per
 formance\, high storage costs\, and data consistency problems.\nThis talk 
 will describe how Apache Iceberg is revolutionizing big data management\, 
 offering ACID transactions\, time travel\, and seamless schema evolution t
 hat enable lightning-fast query performance and robust data consistency fo
 r even our largest workloads.\nThe session will introduce Apache Iceberg\,
  an open-source table format that enables incremental updates\, versioning
 \, and schema evolution. The discussion will focus on how these features a
 ddress common big data management challenges\, improve query performance\,
  and reduce storage costs. Finally\, the session will outline how our Ente
 rprise Data Lake Applications engineering team has harnessed the capabilit
 ies of Apache Iceberg (especially PyIceberg) to revolutionize our data man
 agement and analytical processing workflows.\nAttendees will be able to ap
 ply the best practices discussed in the talk to build better infrastructur
 e for their growing data demands and spur innovation within their organiza
 tion.
DTSTAMP:20260310T193424Z
LOCATION:Terrace 2A
SUMMARY:Exploring Apache Iceberg: A Modern Data Lake Stack - Gowthami Bhogi
 reddy
URL:https://programme.europython.eu/europython-2024/talk/FYHQUE/
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