Google BigQuery and PostgreSQL: BigQuery for Data Analysis

SQL is the most universal and commonly used database language. It powers the most used database engines such as PostgreSQL, SQL Server, SQLite, and MySQL. It is not difficult to learn SQL. SQL is not a programming language, it’s a query language. The primary objective where SQL was created was to give the possibility to common people to get interested data from a database. It is also an English-like language so anyone who can use English at a basic level can write SQL query easily.

SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we have adopted to help you learn SQL quickly starts from the basics and takes you to an advanced level within hours. You can follow the same but remember, you can learn nothing without practicing it.

PostgreSQL is one of several database systems, or RDMS (Relational Database Management System), of which others are Oracle, Informix, MySQL, and MSQL.

All these RDMSs use SQL as their language. Each of them has minor variations in the “dialect” of SQL that they use, but it’s all still SQL.

By the end of this course, your confidence in using Google BigQuery and PostgreSQL will soar. You’ll have a thorough understanding of how to use Google BigQuery and PostgreSQL for data analytics as a career opportunity.

All resources and code files are placed here: https://github.com/PacktPublis...QL-Big-Query-for-Data-Analysis