从传统架构到 Lakehouse：数据仓库迁移的最佳实践（由 Databricks 赞助）.pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Proven best practices for data warehouse migrationFrom Legacy to Lakehouse:Proven Best Practices from Databricks and McKinsey on ModernizationIna Felsheim,DatabricksPierre-Arnaud Klaskala,McKinseyLegacy data warehouses are expensive

2、 anchors for every enterprise its time to move3Traditional data warehouses and data lakes are unable to meet the growing demands of businesses.Data lakehouses overcome these challenges,providing unified data platforms with cutting-edge AI capabilities that deliver modern analytical use cases.The For

3、rester WaveData Lakehouses,2024“Why is data warehouse modernization the smart move?(Also,we need to minimize payback period and reduce risk,please.)Data warehouse market forcesScale and cost tradeoffsLocked down dataAn open,intelligent data warehouseAI happens elsewhereEnterprise scale with market l

4、eading TCOOpen data formats,open catalog,open APIsall multi-cloudOne platform for ETL,analytics and AI with full governanceLegacy data warehousesBrittle,unreliable ETLReady for AI initiatives from the business8Proven migration strategy(hint:its only 20%about the migration tools)Align with migration

5、partnerDefine your payback periodAssess,convert and validate(modernizing is built in)Repoint applications to your new,open data warehouseUnified pharmacy,retail,and digital data to improve analytics speed for real-time decisions across the businessUnified fragmented video data for faster,AI-driven c

6、ontent insights across millions of video assets$Millions saved in supply chain costs40%pipeline performance improvementReduced cost by 25%+systems 50%fasterMigrated its legacy data warehouse to Databricks SQL,improving performance and delivering fast,consistent insightsThe Databricks formula for mig