SQL for Data Analysis

14.

Performance Optimization and Best Practices

14.1.

Query Performance Fundamentals

14.1.1.

Query Execution Plans

14.1.2.

Reading Execution Plans

14.1.3.

Identifying Performance Bottlenecks

14.1.4.

Cost-based Optimization

14.2.

Indexing Strategies

14.2.1.

14.2.1.1.

14.2.1.2.

14.2.1.3.

14.2.1.4.

Partial Indexes

14.2.2.

Index Selection

14.2.3.

Composite Indexes

14.2.4.

Index Maintenance

14.2.5.

Index Performance Impact

14.3.

Query Optimization Techniques

14.3.1.

Avoiding SELECT Asterisk

14.3.2.

Efficient WHERE Clauses

14.3.3.

Join Optimization

14.3.4.

Subquery vs Join Performance

14.3.5.

LIMIT and Pagination Optimization

14.3.6.

Aggregate Query Optimization

14.4.

Database Design for Performance

14.4.1.

Normalization vs Denormalization

14.4.2.

Partitioning Strategies

14.4.3.

Data Distribution

14.4.4.

Storage Considerations

14.5.

Code Quality and Maintainability

14.5.1.

SQL Formatting Standards

14.5.2.

Commenting Best Practices

14.5.3.

Naming Conventions

14.5.4.

Modular Query Design

14.5.5.

Code Reusability

14.5.6.

Version Control for SQL

14.5.7.

Documentation Standards

14.6.

Debugging and Troubleshooting

14.6.1.

Common SQL Errors

14.6.2.

Debugging Techniques

14.6.3.

Performance Monitoring

14.6.4.

Query Profiling

14.6.5.

Error Handling Strategies

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13. SQL for Data Analysis Applications

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1. Introduction to SQL and Relational Databases