Workload Analysis: Analyzing your database workload to identify patterns and peak usage times.

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Bottleneck Identification: Using performance monitoring tools to pinpoint specific areas causing delays or resource contention.

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System Health Check: Assessing the overall health of your database system, including hardware, OS, and database configuration.

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Reporting: Providing detailed diagnostic reports with actionable insights and recommendations.

Query Analysis: Reviewing and analyzing SQL queries to identify inefficiencies and suboptimal practices.

Execution Plan Review: Examining query execution plans to find and fix performance issues.
 

Rewrite and Indexing: Rewriting queries and creating appropriate indexes to speed up data retrieval.
 

Best Practices: Implementing SQL best practices to ensure ongoing query efficiency.

Index Optimization: Reviewing and optimizing existing indexes, and creating new ones as needed.
 

Partitioning Strategies: Implementing table partitioning to manage large datasets more efficiently and improve query performance.
 

Index Maintenance: Regularly maintaining indexes to prevent fragmentation and ensure they remain effective.
 

Performance Testing: Testing indexing and partitioning changes in a staging environment before applying them to production.

Memory Allocation: Adjusting memory settings for optimal database performance.

CPU Utilization: Balancing CPU workloads to prevent bottlenecks.

Storage Management: Ensuring efficient use of storage through regular maintenance and optimization.

Concurrency Management: Managing database concurrency to ensure multiple users can access data without performance degradation.

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