How Databricks Built the Lakehouse That Beat the Data Warehouse

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How Databricks Built the Lakehouse That Beat the Data Warehouse

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Lucas and Luna unpack how Databricks created the lakehouse architecture, blending data lake flexibility with warehouse reliability. They trace the company's rise from an Apache Spark spin-off in 2013 to a $43 billion valuation in 2024, examining key technical decisions like Delta Lake and Unity Catalog. The episode also explores how Databricks navigated competition with Snowflake, the impact of the Mosaic acquisition on AI workloads, and why the lakehouse became the default for modern data teams. Along the way, they discuss the role of open source in building developer trust and the strategic pivot from batch processing to real-time analytics. A concrete breakdown of how one company reshaped the data infrastructure landscape. #Databricks #Lakehouse #DataEngineering #ApacheSpark #DeltaLake #Snowflake #UnifiedAnalytics #OpenSource #DataInfrastructure #CloudComputing #AI #MosaicML #Business #Technology #Startup #FexingoBusiness #BusinessPodcast #DataArchitecture Keep every episode free: buymeacoffee.com/fexingo

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