Now that we know what is SQL and have understood its evolution, let’s understand its uses. 1986: It is standardized by the American National Standards Institute (ANSI).1979: IBM releases the first commercially available SQL data system.1974: Both Chamberlain and Boyce develop a SQL-based relational database management system called Relational Software Inc, inspired by Codd’s research paper.1973: IBM researchers Donald Chamberlain and Raymond Boyce begin developing the language, which was then called Structured English Query Language (SEQUEL).Edgard Codd publishes a research paper on the relational data model for large shared data banks.

In addition, since multiple companies increasingly rely on big data analytics, it has become an in-demand skill. If you are a data professional such as a data analyst, data scientist, or back-end developer or work in a field that is even remotely data-driven, you need to have a good understanding of what SQL is. It functions as the language of databases that allows you to turn unstructured data into useful information. Since databases can hold as much or as little information as required, having a fuss-free data analysis system is an absolute must. SQL is a declarative programming language designed to store, retrieve, manage or manipulate data within a Relational Database Management System. But what is SQL? Why is it a foundational tool for data professionals around the world? Let’s find out. This specialized programming language has been around for nearly half a century and is widely used to extract data. Here is where database management systems like MS Access come in, and a programming language known as Structured Query Language (SQL) is used to engage with this data. Frontrunners like the MAANG companies (Meta, Amazon, Apple, Netflix, and Google), have vast databases that hold a wide range of customer data. Everyone leveraged data from small-scale enterprises to Fortune 500 companies to ensure efficient operations.

Sql tools for data analysis