Advanced SQL for analysts is different than advanced SQL for other tasks (like DBAs). I will be concentrating on SQL that will be useful to you as an analyst. This is not an exhaustive list of SQL functions and features, but ones that I have found useful in my work as an analyst.
SQL
SQL, or Structured Query Language, is a programming language used for managing and manipulating relational databases. It’s essential for data retrieval, insertion, updating, and deletion in a structured and organized way. It is widely used in database management systems like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.
This programming language was developed in the 1970s by IBM researchers Raymond Boyce and Donald Chamberlin. The programming language, known then as SEQUEL, was created following Edgar Frank Codd’s paper, “A Relational Model of Data for Large Shared Data Banks,” in 1970.
Different database management systems (DBMS) implement the language with their own unique features and extensions. Understanding these differences is important when working with specific DBMS like MySQL, PostgreSQL, Oracle, or SQL Server.
Getting Started With BigQuery
With BigQuery, you can store data securely with high performance and nearly unlimited growth. It is perfect for data analysis.