Lakeflow 在生产中的应用：CI CD、大规模测试和监控.pdf

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1、Lakeflow in Production:Testing,CI/CD,and MonitoringYour Data Pipelines at ScaleLennart KatsPrincipal EngineerDatabricksAdriana IspasSr.Staff Product ManagerDatabricksDatabricks R&D June 2025ETL PREPARES RAW DATA FOR ANALYTICS,REPORTING&AI/MLOperating data pipelines at scale can be complex and brittl

2、e Data WarehousingBusiness IntelligenceAI/MLData SharingEnterprise applicationsData LakeCSV,JSON,TXTKinesisAWS GlueKafkaLakeflow declarative pipelinesORCHESTRATETRANSFORMINGESTConnectPipelinesJobsSimple native ingestion connectorsReliable data pipelines made easyOrchestrate workflows across the enti

3、re Data Intelligence PlatformLAKEFLOW DECLARATIVE PIPELINESReduced development complexityRaw ingestion and historyBRONZEFiltered,cleaned,augmentedSILVERBusiness-level aggregatesGOLDCREATE STREAMING TABLE raw_dataAS SELECT*FROM cloud_files(/raw_data,json)CREATE MATERIALIZED VIEW clean_dataAS SELECT F

4、ROM raw_dataSQL or PythonEasier to reason aboutDeclare datasets in SQL/Python&the system automatically orchestrates the resulting DAGOptimized executionThe system handles changing data,parallel execution,and incremental processingEasier maintenanceAutomates complex activities like recovery&retries,a

5、uto-scaling,and performant executionLAKEFLOW PIPELINES EDITORSimplified pipeline authoringTailored to declarative codingPrimitives to organize,execute code and iterate on pipeline logic for the declarative paradigmModular&structured developmentWork on one dataset at a time,and iterate with data prev

6、iews,contextual errors&visual graphGuided and robust,yet flexible Guidance for getting started&accommodating organizations established practicesDevelopmentProductionPrivacyQualityPerformanceBut how do you take your data pipelines to production?DevelopmentProductionPrivacyQualityPerformanceMany aspec