chevron_LEFT
Glossary

SQL (Structured Query Language)

SQL, or Structured Query Language, is a standardized programming language used to manage and manipulate relational databases. It is widely employed for querying, updating, and organizing data stored in databases, making it one of the most essential tools for working with structured data.

SQL provides a straightforward way to perform tasks such as:

1. Data Querying: SQL allows users to retrieve specific data from a database using SELECT statements. Complex queries can be written with conditions, filtering, and ordering to refine results.

2. Data Manipulation: SQL enables users to insert, update, and delete records in a database through INSERT, UPDATE, and DELETE statements.

3. Data Definition: SQL is used to define and modify the structure of a database. With commands like CREATE, ALTER, and DROP, users can create tables, modify their structure, or delete them entirely.

4. Data Control: SQL provides commands for managing database access and permissions, such as GRANT and REVOKE, ensuring that only authorized users can access or modify the data.

Relational databases like MySQL, PostgreSQL, Microsoft SQL Server, and Oracle Database rely on SQL as the primary language for database operations. SQL's flexibility allows for complex operations such as joins, subqueries, grouping, and aggregation, enabling users to analyze data in sophisticated ways.

SQL is declarative, meaning users define what they want from the database, and the system figures out how to retrieve it. This abstraction simplifies working with databases, allowing users to focus on the data itself without needing to understand the underlying mechanics.

While SQL is a standard, many database management systems have their own proprietary extensions (e.g., PL/SQL in Oracle, T-SQL in Microsoft SQL Server, and OSQL in Stream Analyze Platform) that provide additional functionality specific to their platform.

Overall, SQL remains a foundational technology for database management, powering applications in virtually every industry, from finance and healthcare to e-commerce and enterprise software.

Contact us

We are ready to help you: send us a message to know more about Stream Analyze or to book a demo.

Get insights and stay up-to-date with the latest Edge AI news.

By signing up you agree to receive news and promotional messages from Stream Analyze. You can unsubscribe any time.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form. Please try again.