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Your company is planning to migrate a high-volume, data-intensive application to Azure. The application requires frequent access to data for real-time analytics but also needs to archive older data for compliance purposes. Considering the need to balance performance with cost-effectiveness, which of the following strategies should be recommended for selecting Azure storage solutions and data processing services? (Choose two options)
A
Utilize Azure Blob Storage with cool access tier for frequently accessed data and archive tier for compliance data to optimize costs without sacrificing performance
B
Deploy Azure SQL Database for all data storage needs to ensure high performance, disregarding the cost implications
C
Implement Azure Data Lake Storage Gen2 for all data, leveraging its hierarchical namespace for efficient data management, regardless of access patterns
D
Use Azure Cosmos DB for its global distribution capabilities, even though the application does not require global data access
E
Combine Azure Blob Storage with hot access tier for real-time analytics data and archive tier for compliance data, and use Azure Stream Analytics for real-time data processing