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Use Provisioned Capacity in Athena
- Use provisioned capacity in Amazon Athena to dedicate compute resources for mission-critical queries.
- This minimizes query queuing and controls workload concurrency and costs efficiently.
Dynamic Data Masking in Redshift
- Protect sensitive data in Amazon Redshift using dynamic data masking policies at query time.
- Customize masking per column with SQL, Python, Lambda, or conditional logic for fine-grained control.
Simplify Data Manipulation in Redshift
- Use the new MERGE SQL command in Amazon Redshift to combine multiple DML operations into a single statement.
- This simplifies data manipulation workloads by reducing query complexity.