What is SQL

 

Definition

SQL (Structured Query Language) is the language used to query, retrieve, and manipulate data stored in databases and data warehouses.

In Business Intelligence, SQL is how you ask questions of your data and get answers back.

 

What SQL Actually Means

Data stored in databases is not useful on its own.

To analyse it, you need a way to:

  • Select specific data

  • Filter it

  • Combine it

  • Aggregate it

SQL provides a structured way to do this.

Instead of manually searching through tables, you write queries that tell the system exactly what data you want.

 

Why SQL is Important in Business Intelligence

In a Business Intelligence system:

  • Data is stored in a data warehouse

  • Data models define relationships

  • Dashboards present the results

SQL sits in the middle.

It is used to:

  • Extract data from the warehouse

  • Transform it for analysis

  • Build datasets used in dashboards

Without SQL, it is difficult to work directly with data at scale.

 

What You Can Do with SQL

SQL allows you to:

  • Retrieve data from tables

  • Filter data based on conditions

  • Aggregate data (totals, averages, counts)

  • Join multiple tables together

  • Create new tables or views for analysis

These operations form the basis of most data analysis work.

 

A Simple Example

Imagine a table of orders with the following fields:

  • Order ID

  • Customer ID

  • Revenue

  • Date

A simple SQL query might answer:

  • Total revenue last month

  • Number of orders per day

  • Revenue by customer

Instead of manually calculating these, SQL does it instantly.

 

SQL and Data Modelling

SQL works closely with data models.

Because data is organised into tables and relationships, SQL can:

  • Join related tables together

  • Analyse data across different entities

For example:

  • Orders joined with customers

  • Orders joined with products

This allows for more meaningful analysis.

 

SQL vs BI Tools

Many BI tools allow users to build reports without writing SQL.

However:

  • SQL gives more control

  • SQL allows more complex analysis

  • SQL helps ensure accuracy

In practice, many dashboards are powered by SQL queries behind the scenes.

 

Common Misconceptions

“SQL is only for developers”

SQL is widely used by analysts and BI professionals, not just engineers.

“You need advanced SQL for BI”

Most BI work relies on a relatively small set of SQL concepts.

“BI tools replace SQL”

BI tools often generate SQL automatically, but understanding SQL helps you work more effectively.

 

Why SQL Matters

SQL makes it possible to:

  • Access data directly

  • Build reliable datasets

  • Perform accurate analysis

  • Understand how data is structured

It is one of the most important skills in Business Intelligence.

 

Summary

SQL is the language used to:

  • Query data

  • Analyse it

  • Transform it

In BI, it is the bridge between stored data and meaningful insights.