What is SQL and where can it be used?
17 Dec 2019 Sanjay Jain
SQL (Structured Query Language) is a language designed to work with databases. It is used to create, edit, and search specific data - this data are usually organized in tables. Each table contains its data and SQL is designed to find and edit information the way we want it. SQL is a relatively simple language to learn. Almost every company needs someone with knowledge of SQL. In 2015, there were more than 50 thousand jobs associated with SQL knowledge.
Who needs knowledge of SQL:
- Database administrators
Other professions related to the analysis and preparation of company data (eg professions in marketing, sales, recruitment, etc.)
Why do I need knowledge of SQL?
INTEGRATION AND PRESENTATION: Searching for data in Excel tables can take a lot of time. PivotTable works until when we are only dealing with one or two tables. Whenever we need advanced data integration, SQL comes in handy.
OPTIMIZATION OF WORK PROCESSES: We measure many things and analyze the data manually. Knowledge of SQL and database planning helps us to identify optimal solutions that can be used to perfect business processes.
REPORTS AND ANALYSIS: In many cases we have to deal with reports that are very time-consuming. Hurrying up for meetings, printing tables and underlining the important data. With SQL we can determine what information is needed, where we can find it and where and how to display it.
UNDERSTANDING SQL Statements: Usually in companies, someone from the technical team makes SQL statements for analysts, who retrieve this database for their reports. However, most analysts do not understand the logic of SQL statements, so simply copy and paste them. With knowledge of SQL they can compile their own SQL statements for searching the database, this way they can be more effective and flexible.
An example of an excellent application
The purchase order for a new tender took a lot of time for the administration in one of the most successful Canadian companies. In different databases they had information about employees, tasks and the time they spent on each project, earnings were dependent on the time they spent, etc. The result had to be a set of data for each employee. All this was solved with basic SQL commands, which saved them 80% of the time that would normally be spent if the problems were handled manually.