The primary tool used to manage structured data is structured query language (SQL).
Understanding Structured Data Management
Structured data is data that is organized in a fixed format, such as in tables with rows and columns. Managing this type of data involves tasks like storing it, retrieving specific pieces of information, updating records, and deleting data.
The Role of SQL in Managing Structured Data
According to the reference, developed by IBM® in 1974, structured query language (SQL) is the programming language used to manage structured data.
SQL provides a standard way to interact with databases where structured data is stored. It acts as the command language that tells the database what operations to perform on the data.
SQL and Relational Databases
Structured data is commonly stored in relational databases. The reference highlights that by using a relational (SQL) database, business users can quickly:
- Input structured data
- Search structured data
- Manipulate structured data
This demonstrates that SQL is the key language enabling these fundamental management tasks within the database environment.
Key capabilities of SQL include:
- Defining the structure of the database (creating tables, defining relationships)
- Querying data (retrieving specific information using
SELECT) - Inserting new data (
INSERT) - Updating existing data (
UPDATE) - Deleting data (
DELETE)
These operations collectively allow users and applications to effectively manage the structured information contained within databases.
