使用 DATABRICKS SQL 实现数据仓库性能、规模和安全性.pdf

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1、2024 Databricks Inc.All rights reservedScaling DBSQL Performance,Scaling DBSQL Performance,Observability,and SecurityObservability,and SecurityJeremy Lewallen,PM-SQLAlex Esibov,PM-Security13 June 2024This information is provided to outline Databricks general product direction and is for informationa

2、l purposes only.Customers who purchase Databricks services should make their purchase 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

3、 and may not be delivered as planned or at allProduct safe harbor statement2024 Databricks Inc.All rights reservedWho is this talk for?Who is this talk for?3If you have DBSQL implemented and youre considering adding new workloads,new users,or you want a better understanding of how Databricks largest

4、 customers scale 2024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved4Databricks largest Databricks largest customers focus on 3 areascustomers focus on 3 areasObservabilityEnable tens of thousands of users to adopt Databricks SQL and unlock value from your data.SecuritySim

5、ply secure the SQL platform and make serverless your private networkPerformanceEffectively manage your performance and cost objectives across several business units.2024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved5First topic,scaling First topic,scaling workloadsworkloa

6、dsObservabilityEnable tens of thousands of users to adopt Databricks SQL and unlock value from your data.SecuritySimply secure the SQL platform and make serverless your private networkPerformanceEffectively manage your large scale workloads with world class performance and TCO2024 Databricks Inc.All