ON DATA ENGINEERING
The path to learning SQL and mastering it to become a Data Engineer
SQL is one of the key tools used by data engineers to model business logic, extract key performance metrics, and create reusable data structures. There are, however, different types of SQL to consider for data engineers: Basic, Advanced Modelling, Efficient, Big Data, and Programmatic. The path to learning SQL involves progressively learning these different types.
Basic SQL
What is “Basic SQL”
Learning “Basic SQL” is all about learning the key operations in SQL to manipulate the data such as aggregations, grain, and joins, for example.
Where to learn it
Basic SQL can be learned from websites such as W3C or looking for a more practical approach to learning from websites such as Datacamp or DataQuest. These websites allow us to get a decent grasp of SQL's core concepts, such as the different operations, functions, subqueries, and joins. Some of the core concepts in data engineering, such as working with the grain of a table/dataset, are often not as extensively discussed as they deserve.
