Day 1 of My Data Journey: Learning how to actually work with data using SQL 🚀
Most people think SQL is just about writing queries.
I realized it’s actually about asking the right questions to your data.
Today, I focused on understanding how to extract meaning from raw data — not just fetch it.
Here’s what that looked like:
🔹 Filtering the right data (SELECT, WHERE)
SELECT → chooses the columns you want
WHERE → filters rows based on conditions
👉 Instead of looking at everything, I asked:
What data is actually relevant?
SELECT name, city
FROM customers
WHERE city = 'Pune';
🔹 Focusing on what matters (ORDER BY, LIMIT)
ORDER BY → sorts data
LIMIT → restricts results
👉 Because seeing everything ≠ seeing what matters
SELECT customer_id, total_amount
FROM orders
ORDER BY total_amount DESC
LIMIT 5;
🔹 Understanding patterns (GROUP BY, COUNT, SUM)
GROUP BY → groups similar data
COUNT() / SUM() → reveals trends
👉 This is where data stops being rows and starts telling a story
SELECT city, COUNT(*) AS total_customers
FROM customers
GROUP BY city;
💡 Big takeaway:
SQL is less about syntax and more about how you think about data
What to include
What to ignore
What to compare
That mindset is what separates queries from insights.
🚀 Tomorrow: diving into SQL JOINS — where multiple datasets connect and the real power of data begins.
🙏 Grateful for the guidance
A big thank you to Kishori Khadilkar Ma’am and Priti Take Ma’am for making SQL concepts so clear and practical.
Also thankful to Keshav P. Kumar Sir, for his constant support and guidance throughout this journey.
#IACSD #SQL #DataAnalytics #DataEngineering #LearningInPublic #MachineLearning
Great mindset, Caio — this is exactly the shift that accelerates growth in data. One thing that becomes very clear over time is that SQL and tools are just the interface — the real value comes from how well you translate data into decisions. As data environments grow in complexity, even small improvements in data modeling or pipeline reliability can significantly improve the quality of discussions and the speed of decision-making. Looking forward to your posts — especially around how you’re thinking about structuring data and solving real business problems.