What is the application of SQL


SQL (Structured Query Language) is a language developed for working with databases. It is used to create, edit and search through certain data - this data is usually organized in tables. Each table contains its data, and SQL is designed to find and manipulate information in the way you want.

SQL is relatively easy to learn. Almost every company needs someone with SQL knowledge. In 2015, more than 50,000 jobs were associated with SQL skills.

Who needs SQL knowledge

  • programmer
  • Database administrators
  • Analysts
  • planner
  • Manager

Other professions in connection with the analysis and processing of business data (e.g. professions in marketing, sales, recruiting, etc.).

Why do I need SQL knowledge

  • DATA INTEGRATION AND PRESENTATION: Searching for data in Excel spreadsheets can be time consuming. PivotTable works as long as we are dealing with just one or two tables. But when we need advanced data integration, SQL comes in handy.
  • OPTIMIZATION OF WORK PROCESSES: We evaluate many things and analyze the data manually. Knowledge of SQL and the planning of databases help us to find optimal solutions that can be used to optimize business processes.
  • REPORTS AND ANALYZES: In many cases we are dealing with reports that are very time consuming. Hurry to meetings, print tables, and underline important dates. With SQL, we can determine what information is needed, where to find it, and where and how to display it.
  • UNDERSTAND SQL STATEMENTS: Typically, someone on the technical team prepares SQL statements for analysts who will call this database for their reports. Most analysts don't understand the logic behind SQL statements, however, so they just copy and paste them. With the appropriate SQL knowledge, analysts can compile their own SQL statements for database research and are thus more effective and flexible.

An example of the successful application

Acquiring a European tender in one of the successful Slovenian companies took a lot of administrative time. Information about the employees, the tasks of the employees and the time they had to spend on each project, depending on the time spent, etc. was stored in various databases.

The result had to be a list of data for each employee, on a piece of paper. All of this was solved with basic SQL commands that saved you 80% of the time it would have taken to manually solve the problem.