The short answer: yes.
SQL (Structured Query Language) has been around since the 1970s, and it’s still one of the most important skills for data professionals today. Even though technology has evolved, SQL remains the foundation of working with data.
Why SQL Is Still Relevant
- Legacy systems: Many organisations still rely on systems built years ago, banks, insurance companies, and manufacturers often run critical operations on databases where SQL is the only way to get information out.
- Cloud platforms: Modern tools haven’t replaced SQL, they’ve adopted it. Microsoft’s T-SQL, Google BigQuery SQL, and Spark SQL are all variations of the same language.
- Universal language: Once you understand SQL, you can use it across almost any system. This makes it one of the most transferable skills in the data world.
What It Brings to a Data Analyst
- Direct access to data: Analysts don’t have to wait for IT teams, they can pull the data themselves.
- Transform and prepare data: SQL helps you clean, filter, and combine tables before sending them to Power BI, Tableau, or Excel.
- Understand how data works: Writing queries gives you insight into how data is stored and how performance can be improved.
How Much SQL Do You Really Need?
You don’t need to be a database administrator. For most analysts, knowing how to select, filter, join, and group data is enough to cover 80% of daily needs. From there, you can grow into more advanced areas like window functions, common table expressions (CTEs), or query optimisation.
Here’s a simple table with the most common SQL commands you’ll use:
| Command | What It Does | Example |
|---|---|---|
SELECT | Retrieve data from a table | SELECT name, age FROM customers; |
WHERE | Filter rows based on conditions | SELECT * FROM orders WHERE status = 'Shipped'; |
JOIN | Combine rows from two or more tables | SELECT o.id, c.name FROM orders o JOIN customers c ON o.customer_id = c.id; |
GROUP BY | Aggregate rows into groups | SELECT country, COUNT(*) FROM customers GROUP BY country; |
ORDER BY | Sort results | SELECT * FROM products ORDER BY price DESC; |
INSERT | Add new rows to a table | INSERT INTO customers (name, email) VALUES ('Ramon', 'ramon@email.com'); |
UPDATE | Modify existing rows | UPDATE products SET price = 20 WHERE id = 5; |
DELETE | Remove rows from a table | DELETE FROM orders WHERE status = 'Cancelled'; |
Final Thought
SQL is not just “another tool”, it’s the backbone of data analysis. Whether you’re pulling numbers for a monthly report, building a dashboard, or working with big data in the cloud, SQL will always give you a strong foundation.
If you’re starting your data career, learning SQL is one of the smartest investments you can make.
