Lab SQL Basics - Relearning Selection, Filtering and Aggregation in SQLite

[hitchcock9000]

This was my first SQL lab in the bootcamp, and it felt like reopening a part of my brain that had been quiet for a while.

I worked with the lab1_bank.sqlite database, which includes tables like client, loan, card, and order.
The goal was to remember how to think in SQL again — how queries flow from selecting, filtering, grouping, and ordering data logically.

It took me a few tries to get back into it, especially catching small mistakes like column names or typos.
But slowly, I started to feel that sense of structure and clarity again — seeing the pattern, testing, and confirming the logic.

Each query is commented in Portuguese so I can read it later and still understand what I was doing and why.
I wrote everything in a way that matches how I actually learn — by connecting the steps to meaning, not just memorizing syntax.

Beyond the technical part, this lab was also an emotional milestone.
After a long time of instability and feeling disconnected due to bipolar disorder, being able to focus, code, and think logically again felt grounding.
This lab wasn’t just about SQL — it was about coming back to myself, one line of code at a time.

These queries are also the foundation for data extraction and analysis pipelines that will later support MyCarbonAI.
But for now, what matters most is that I’m coding again — and that feels huge.