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SQL

Podcast 1 · Introduction

SQL /ˈes.kjuː.el/ or /ˈsiː.kwəl/ · noun (abbreviation)

A short documentary narration — meaning, origin, and how the word is used.

In this course, SQL means Structured Query Language. This sense is built on database. One citation is the Cambridge English entry, and a second is the Cambridge learner entry. Encyclopaedic background is in Sql.

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Podcast 2 · Daily Use

In Conversation

Two British speakers using "sql" naturally in everyday talk.

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Podcast 3 · Prompt Engineering

Prompting with "sql"

An instructor and developer explore real, copy-ready AI prompts built around the word.

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Transcript: “Sql” vocabulary micro-course

Read along with the three podcasts, or open the full dictionary entry for Sql for the definition, Arabic meaning, synonyms and example sentences.

Podcast 1 — Introduction & meaning

Narrator: Today's word is "SQL" — a noun and abbreviation, said as "S-Q-L" /ˈes.kjuː.el/, or often "sequel" /ˈsiː.kwəl/.

Narrator: SQL stands for Structured Query Language — the standard language for talking to databases.

Narrator: In plain English, SQL is how you ask a database to store, find, change, or remove data.

Narrator: It was created at IBM in the 1970s, growing from early research into relational databases.

Narrator: It became the worldwide standard, used by systems like MySQL, PostgreSQL, and SQL Server.

Narrator: With simple words like SELECT, INSERT, UPDATE, and DELETE, you command huge stores of data.

Narrator: Over the decades SQL has stayed remarkably stable, a true backbone of modern software.

Narrator: In tone it's technical and everyday in the tech world, familiar to nearly every developer.

Narrator: So remember: SQL is the language of databases — how we ask data to come, go, and change.

Read podcasts 2 and 3

Podcast 2 — In conversation

Speaker A: I finally started learning SQL this week, and it's clicking faster than I expected.

Speaker B: Brilliant. SQL is one of those skills that pays off everywhere.

Speaker A: Right. A simple SELECT statement pulls exactly the rows I want.

Speaker B: Funny thing — some say "S-Q-L", others say "sequel". Both are fine.

Speaker A: Ha, I've been saying "sequel". "I wrote a SQL query" sounds natural either way.

Speaker B: Exactly. And remember, SQL isn't a database itself; it's the language you use.

Speaker A: Good point. A common mistake is calling the database "a SQL".

Speaker B: True — the database is MySQL or Postgres; SQL is how you talk to it.

Speaker A: Close terms? People mention "queries" or "statements" for the commands.

Speaker B: And "NoSQL" for databases that don't use the traditional SQL approach.

Speaker A: So with a bit more SQL practice, I'll be querying like a pro.

Speaker B: You will — SQL rewards every hour you put in.

Podcast 3 — Prompt engineering

Speaker B: Let's use "SQL" to get clear, safe database help when you prompt AI for development.

Speaker A: So naming "SQL" tells the AI exactly what kind of code to write?

Speaker B: Exactly. For a query, you'd write:

Prompt: Write a SQL query that lists my top ten customers by total spend this year. Use clear column names, sort highest first, and add a short comment explaining each line.

Speaker B: The word "SQL" pins the model to standard, portable database code.

Speaker A: Useful. What about schema design?

Speaker B: Try this:

Prompt: Design a SQL schema for a simple invoicing app: tables for customers, invoices, and items, with the right keys and relations, and add helpful indexes for fast lookups.

Speaker A: So the structure is solid from the start.

Speaker B: Right. For safety, ask about injection:

Prompt: Review my login code for SQL injection risks. Show how to switch to parameterised SQL queries so user input can never be run as part of the database command.

Speaker A: I like that it covers security.

Speaker B: For performance:

Prompt: This SQL query is slow on a big table. Explain why, suggest the right index, and rewrite the SQL so it runs faster without changing the results it returns.

Speaker A: Could it explain a query I inherited?

Speaker B: Yes:

Prompt: Explain this complex SQL query to me in plain English, line by line, then tell me what it returns and suggest one way to make it clearer.

Speaker A: So naming "SQL" keeps the help precise and safe.

Speaker B: Exactly — a key term that focuses the AI on solid database work.