Databases & SQL Skill
Overview
Master SQL and database concepts essential for data analysts, from basic queries to advanced optimization and data warehousing.
Core Topics
SQL Fundamentals
- •SELECT, FROM, WHERE, ORDER BY
- •JOINs (INNER, LEFT, RIGHT, FULL)
- •GROUP BY and aggregate functions
- •Subqueries and CTEs
Advanced SQL
- •Window functions (ROW_NUMBER, RANK, LAG, LEAD)
- •Recursive queries
- •Query optimization and execution plans
- •Index strategies
Database Concepts
- •Relational database design principles
- •Normalization and denormalization
- •Data warehousing concepts (star schema, snowflake)
- •ETL processes
Popular Platforms
- •PostgreSQL
- •MySQL
- •SQL Server
- •BigQuery, Redshift, Snowflake
Learning Objectives
- •Write efficient SQL queries for data extraction
- •Understand database design and optimization
- •Work with cloud data warehouses
- •Implement ETL processes for analytics pipelines
Error Handling
| Error Type | Cause | Recovery |
|---|---|---|
| Syntax error | Invalid SQL | Validate query syntax before execution |
| Timeout | Long-running query | Add indexes, optimize query |
| Connection failed | Network/auth issue | Retry with exponential backoff |
| Permission denied | Access rights | Request appropriate permissions |
| Deadlock | Concurrent transactions | Retry transaction |
Related Skills
- •foundations (for data concepts)
- •programming (for SQL with Python/R)
- •advanced (for big data processing)