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Building an Analytics Lakehouse at Grab

On Demand

Type

  • Session

フォーマット

  • In-Person

Track

  • データサイエンス、機械学習、MLOps

Room

  • Moscone South | Upper Mezzanine | 151

Duration

  • 40 min
Download session slides

概要

Grab shares the story of their Lakehouse journey, from the drivers behind their shift to this new paradigm, to lessons learned along the way. From a starting point of a siloed, data warehouse centric architecture that had inherent challenges with scalability, performance and data duplication, Grab has standardized upon Databricks to serve as an open and unified Lakehouse platform to deliver insights at scale, democratizing data through the rapid deployment of AI and BI use cases across their operations.

Session Speakers

Zulfikar Lazuardi Maulana 氏

Lead Data Scientist (Analytics)

グラブ

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