big-data-analytics-enterprise-grade-security-1
2024-03-07 13:53:54 0 举报这是一个关于大数据分析的企业级安全解决方案的文档，它详细介绍了如何在处理大量敏感数据时确保隐私和安全。通过实施一系列严格的安全措施，企业可以在保护用户数据免受未经授权访问的同时，充分利用大数据分析带来的优势。该文件可能包含了数据加密、访问控制、安全存储和传输等方面相关的技术和策略，以提高企业数据的安全性和隐私保护水平。
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大纲/内容
Data gateway
Bronze
Virtual network
Silver
Enterprise application
Azure Synapse Analytics pipelines
Spark pool
Managed private endpoint serverless SQL pool
Gold
Subnets
Private endpoint serverless SQL pool
2
Self-hosted integration runtime
Private endpoint dedicated SQL pool
On-premises relational data warehouse
1
Other data warehouse systems
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4
3
Serverless SQL pool
Private endpoint storage
Subscriptions
Dedicated SQL pool
7
6
5
Azure apps using Azure Synapse Analytics SQL pool
Power BI
Resource group
Azure subscription
Destination systems
Managed identities
Azure Data Lake data stores
Managed private endpoint dedicated SQL pool
Storage account firewall
Customer-managed key
Managed private endpoint storage
Azure Storage account
Azure Synapse Analytics workspace
External data sources
Managed virtual network
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