6.4 — Excel to SQL Migration
What You'll Learn
- How to translate multi-sheet Excel workflows into SQL joins
- Practical steps for moving from spreadsheets to databases
- Benefits and tips for a smooth transition
Why Migrate Multi-Table Analysis to SQL?
- Handle complex relationships without manual VLOOKUPs
- Automate and scale your analysis
- Collaborate with your team on a single source of truth
Common Excel Multi-Sheet Tasks and Their SQL Equivalents
Excel Task | SQL Equivalent |
---|---|
VLOOKUP across sheets | JOIN across tables |
Combine multiple tables | Multiple JOIN statements |
Remove duplicates | SELECT DISTINCT |
Filter after joining | WHERE clause after JOIN |
Example: From Excel to SQL
Excel:
Combine sales, product, and customer info using VLOOKUPs.
SQL:
sql
SELECT s.SaleID, s.Amount, p.ProductName, c.CustomerName
FROM sales s
INNER JOIN products p
ON s.ProductID = p.ProductID
INNER JOIN customers c
ON s.CustomerID = c.CustomerID;
Tips for a Smooth Migration
- Start by mapping your Excel sheets to database tables.
- Replicate your most common reports using SQL joins.
- Use views or saved queries for reusable analysis.
- Document your queries for future reference.
Key Points
- SQL joins replace complex, error-prone VLOOKUPs across sheets.
- Migrating to SQL saves time and reduces errors for large or recurring analysis.
Next Steps
Congratulations! You’ve completed the core modules. You’re ready to analyze business data at scale with SQL.