Course Summary

Advanced SQL for Data Engineering course. Dive deep into the world of SQL with the Advanced SQL for Data Engineering course. This course is designed for individuals who plan to strengthen their SQL skills and understand advanced database design concepts, which are essential for many roles in today’s data-driven industry. This course consists of eight comprehensive sections. It begins with environment setup and an overview of relational databases to set the stage for more advanced SQL topics. You will learn SQL syntax as well as Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), and Data Control Language (DCL). Subsequent sections systematically progress through manipulating databases, managing and manipulating DateTime in SQL, handling complex data types, and exploring advanced search techniques. You will master essential SQL statements such as CREATE, ALTER, INSERT, UPDATE, DELETE, MERGE, and DROP. You’ll then delve into the subtleties of DateTime types, timezones, and intervals, and get hands-on experience with ENUM. Each subject’s scopes and nested data are designed to equip you with advanced techniques for managing, querying, and manipulating databases. After that, you’ll explore advanced search techniques with a focus on OVER, various types of JOINS, CASE, CONCAT, and the powerful Recursive Common Table (CTE) expressions. These concepts will strengthen your skills in complex data querying, a fundamental aspect of data engineering. The sixth part deals with the optimization of data structures and introduces the concept of data normalization in SQL. You will learn the theory and practical application of data normalization as well as the STAR schema and the Snowflake model, both of which are essential in designing efficient databases. Part seven deals with performance and control, where you’ll master stored procedures, user-defined functions (UDFs), temporary tables, materialized views, and transactions. These concepts enhance your capabilities to manage and optimize databases for maximum performance. The final section allows you to put all the knowledge you have acquired into practice with a series of challenging exercises. These practical tasks are designed to strengthen your understanding of the topics covered and prepare you for real-world scenarios. By the end of the Advanced SQL for Data Engineering course, you will master the advanced features of SQL and be able to effectively design, manage and optimize databases. Whether you’re a budding data engineer or a seasoned professional looking to enhance your skills, this course has you covered!