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·Store enterprise data in a data lake and offer SQL and Spark querycapability overall data
·Reduce the need for Extract, Transform, and Load (ETL) applications byeliminating data movement
·Integrate and secure machine learning applications with scalableperformance
·Reduce the need for application and query changes to gain a boost inperformance
·Increase confidential computing of data through hardware enclaves
·Increase application and database uptime and availability through featureslike ADR (Advanced Database Recovery)
·Extend the power of the T-SQL language in a secure and robust fashion
·Run applications and deploy databases across multiple operating systems andplatforms with compatibility
·Reduce the risk of upgrades while using new SQL capabilities when you areready though inbuilt database compatibility levels