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PRODID:-//Palaner//palaner Single Event//EN
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CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:meetup-607710f5fe@palaner.app
DTSTAMP:20260802T141952Z
DTSTART:20260820T063000Z
DTEND:20260820T080000Z
SUMMARY:Data Breakfast – The Case for One Data Platform\, Not Three
LOCATION:Grev Wedels Plass 9
DESCRIPTION:Saved in Palaner as: saved\n\nPalaner match: 30% · why: easy to
  get to · lots of people going\n\nMost data organisations run complex plat
 forms with three to five separate databases and a lot of data movement: tr
 ansactional database\, data warehouse\, streaming layer\, vector store\, m
 aybe a feature store for AI. Each with its own budget\, its own team\, and
  its own renewal negotiation. The conventional wisdom is that this is nece
 ssary. The technology has moved past that assumption\, and the economics h
 ave moved with it. Compound this with Sovereignty concerns and it becomes 
 difficult to see the simple solution.\nThis is a 90-minute breakfast sessi
 on for data leaders who want to understand what's changed\, what's now eas
 y\, and what it means for their next platform decision.\n\nWhat you'll see
 \nA live demo of a single open-source platform handling transactional\, an
 alytical\, and AI workloads on the same dataset. No data duplication. No E
 TL pipelines. Strict ACID consistency across the entire platform. Built en
 tirely from Apache-licensed open-source components.\n\nCost comparison\nHo
 w this approach runs 80%+ cheaper at petabyte scale than a Postgres + ETL 
 + Snowflake or Databricks stack\, with the cost model documented and audit
 able. Every enterprise has different architectural needs and we'll demonst
 rate how to model costs comparisons against your needs.\n\nWhat you'll tak
 e away\nA clear picture of what open-source data infrastructure can do in 
 2026 that it couldn't three years ago\, and a framework for evaluating whe
 ther your current platform architecture is the right long-term bet\, or wh
 ether you're paying a complexity tax that's no longer necessary. Whether y
 ou're committed to Snowflake\, Databricks\, or BigQuery\, this session giv
 es you the context to pressure-test that commitment with real numbers.\n\n
 Who this is for\n\nCDOs and Heads of Data evaluating platform consolidatio
 n.\nCTOs assessing long-term vendor risk.\nSolution architects and data pl
 atform leads who want the technical reality before recommending a directio
 n.\nIf you are responsible for a data-platform budget and wondering whethe
 r it should be smaller\, this breakfast session is for you.\n\nFree for DN
 D members. Limited seats. Breakfast is sponsored by IBM.\n\nPlease registe
 r using the link below:\nhttps://event.checkin.no/223554/data-breakfast-yo
 ure-paying-for-three-platforms-you-need-one
URL:https://www.meetup.com/oslo-data-science/events/315188649/
CATEGORIES:palaner,saved
STATUS:TENTATIVE
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