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3 min read
In the world of data management and database design, the term SQL, or Structured Query Language, pops up quite often. So, what is SQL and why is it such an integral part of data handling? Let's get started on this easy-to-understand glossary.
SQL is a standard language specifically used for designing, managing, and manipulating databases. It's the backbone of any data-driven application, facilitating the communication with and manipulation of databases. This language enables you to create, read, update, and delete (CRUD) database records without needing to understand how the data is physically stored.
For example, if a company wanted to retrieve information on all their customers in New York, they would use an SQL command, a form of Data Transmission, similar to this: SELECT * FROM Customers WHERE City='New York';
SQL is essentially a tool to manage data stored in a database management system (RDBMS) or stream processing in a relational data stream management system (RDSMS). It is a domain-specific language that interprets and manipulates data stored in databases.
Take a library database for instance. If you need to find books written by a particular author, an SQL query such as SELECT * FROM Books WHERE Author='John Doe'; can be used. It will retrieve all the books written by John Doe.
'SQL Server' is a popular term associated with SQL, but what is an SQL server? SQL Server is a relational database management system developed by Microsoft. It uses SQL as its primary language to interact with the databases stored within it.
The SQL Server is like a powerful librarian. Not only does it store books (data), but it also efficiently finds and sorts data, similar to the concept of Data Analytics.
For example, an e-commerce company might use SQL Server to store and retrieve data about their products, customer purchase history, inventory, etc. By writing SQL queries, they can find out how many customers bought a specific product in a given month or how many units of a product are left in their inventory.
In conclusion, SQL and SQL Server are critical components in the realm of data management. By mastering SQL, one opens doors to an efficient and dynamic way of handling data.
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