No seriously.

In this absolutely loaded tutorial / test drive, we’re going to break down some simple SQL and NoSQL problem statements and turn them into actual queries. You might be thinking, Who even needs to write queries anymore? We’ve got AI that can take a file and answer questions, right?

Trust me—I build AI-powered tools, and structured queries are a game-changer when it comes to reliability, efficiency, and guardrails. Also, let’s be real—your employer still needs you to query the data manually.

Let’s break this down:

🔹 SQL – The OG of structured data

🔹 NoSQL – When flexibility matters

🔹 Pandas – Your data’s best friend in Python (for when you don’t really want to write SQL but still need to manipulate tables)

🔹 Spark – When things get big

Also please note this is not a typical blog with a beginning and an end, i will be diving into basics of different kinds of querying and making updates frequently. This piece is in absolute no shape of form to replace any official documentation but just a way for you to quick start into any of these frameworks.