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1、Whats new in Databricks WorkflowsBilal Aslam,Sr.Director of Product Management,DatabricksProduct safe harbor statementThis information is provided to outline Databricks general product direction and is for informational purposes only.Customers who purchase Databricks services should make their purch
2、ase decisions relying solely upon services,features,and functions that are currently available.Unreleased features or functionality described in forward-looking statements are subject to change at Databricks discretion and may not be delivered as planned or at all.2023 Databricks Inc.All rights rese
3、rvedConfidential and Proprietary The Databricks Workflows Story Recent innovations Looking ahead DemoAgenda2023 Databricks Inc.All rights reservedConfidential and Proprietary 2015 Cron-based jobs 2016 Notebook workflows 2020 Multi-task jobs Reliability Monitoring 2022 The best lakehouse orchestrator
4、 Unified with the lakehouse Streaming Cluster reuse Simplicity 2023+2023 Databricks Inc.All rights reservedConfidential and ProprietaryModern data engineering requires modern data orchestration2023 Databricks Inc.All rights reservedConfidential and ProprietaryModern data engineering requires modern
5、data orchestrationMultiple data sources&triggersMultiple use casesMultiple dependenciesComplex,multi-stage data flowsExtract,transform,loadMachine learning Model trainingBI dashboard refresh“Data pipelines are growing in size,volume,and complexity,with multistage processing and dependencies between
6、various data assets.”*Gartner Data Engineering Essentials,Patterns and Best Practices,September 2022Orchestrating processes across all data,analytics and AI use cases is business critical Real-time applications2023 Databricks Inc.All rights reservedConfidential and ProprietaryBut organizations strug