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PRODID:-//Palaner//palaner Single Event//EN
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CALSCALE:GREGORIAN
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UID:meetup-f97159699f@palaner.app
DTSTAMP:20260802T142726Z
DTSTART:20260819T073000Z
DTEND:20260819T090000Z
SUMMARY:Time Series on Databricks
LOCATION:One51
DESCRIPTION:Saved in Palaner as: saved\n\nPalaner match: 33% · why: lots of
  people going\n\nWe’re back for a relaxed\, practical evening on time seri
 es- the stuff we use every day for demand\, reliability\, and asset health
 . No hype\; just what works and what doesn’t.\n\nWe will have Matthew Park
 er from Endeavour Energy who will cover Success Creates Problems: Lessons 
 from Scaling Databricks from Time Series Data to an Enterprise AI Platform
 \nWhat started as a migration of operational time-series data into Databri
 cks quickly evolved into something much bigger. In this session\, we'll sh
 are our journey from a single use case to an enterprise platform supportin
 g analytics\, planning\, AI\, applications and governance. We'll discuss t
 he challenges we faced around ingestion costs\, platform adoption\, access
  management and data governance\, and how we're now establishing the found
 ations needed to scale Databricks sustainably across the business.\nYou wi
 ll gain practical insights into the realities of enterprise Databricks ado
 ption\, including lessons learned\, unexpected outcomes and the opportunit
 ies ahead with AI\, applications and Lakebase.\n\nTo add to the first talk
 \, we will also have Allan Leung from Databricks who will show how you can
  build and run time‑series pipelines on the Lakehouse - the patterns that 
 stick\, the ones to avoid\, and a few “wish I knew this earlier” tips. Thi
 nk of it as an Art of the possible tour for taming time‑series data.\n\nWe
 ’ll have light snacks and drinks to keep the conversations going.\n\nCome 
 meet your industry peers\, learn something new\, and share what you’re wor
 king on!\n\nLooking forward to seeing you there!
URL:https://www.meetup.com/sydney-energy-data-group/events/315867721/
CATEGORIES:palaner,saved
STATUS:TENTATIVE
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