Web Development Jargons Explained in 5 Different Ways
TLDR: SQL stands for Structured Query Language. It is a specific programming language for managing relational database management systems. With SQL, you can easily write programs to create, read, update, and delete data.
SQL stands for Structured Query Language. It is a specific programming language for managing relational database management systems. With SQL, you can easily write programs to create, read, update, and delete data in a database.
SQL, originally named SEQUEL (Structured English Query Language) was created in the 1970s by two scientists at IBM. The concept is based on a scientific paper written by Edgar Codd called "A Relational Model of Data for Large Shared Data Banks".
The advancement in SQL compared to its early counterparts was its ability to retrieve multiple data entries with just one command. It is also particularly good at dealing with relationships between different data types. Such as authors and their books.
Early relational database management system vendors implemented their own versions of SQL, and SQL commands were not fully interoperable between different vendors. In 1996, a SQL standard was established and the industry started complying with the new standard.
SQL is the interface between a data store and the user. You can use SQL to search for items in the data store based on its attributes. It is like a look up system for artefacts in a museum's storage room. You can search for an artefact based on its origin and date.
Mastering SQL is useful if you have to deal with complex data queries, especially in data analytics. A well written SQL statement can be 50% or more efficient than a badly written one.
A database is a collection of data organized for fast access and easy query. An example would be a database of the rental records of all the books in all public libraries so you can find the libraries that have your book available.
A relational database is a type of database structure that organizes data in tables of columns and rows. Each table represents one entity type. Relationships then can be linked between data of each table. Such as books and their authors.
Cohort 82 begins on October 2nd, 2023
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