Advanced SQL for Data Engineering

Dive deep into the world of SQL with the Advanced SQL for Data Engineering course. This course is tailored for individuals aiming to sharpen their SQL skills and grasp advanced database design concepts, essential for numerous roles in today’s data-driven industry.

The course is structured into eight comprehensive sections. It begins with setting up the environment and an overview of relational databases to establish the groundwork for more advanced SQL topics. You will be introduced to SQL syntax, as well as Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), and Data Control Language (DCL).

The subsequent sections progress systematically through the manipulation of databases, managing and manipulating DateTime in SQL, handling complex data types, and exploring advanced query techniques. You will master essential SQL statements such as CREATE, ALTER, INSERT, UPDATE, DELETE, MERGE, and DROP.

Then you will dive into the subtleties of DateTime types, timezones, and intervals, and get hands-on experience with ENUMs. Ranges, and nested data. Each topic is designed to equip you with advanced techniques for managing, querying, and manipulating databases.

After that you will explore advanced query techniques with a focus on OVER, various types of JOINS, CASE, CONCAT, and the powerful Recursive Common Table Expressions (CTEs). These concepts will hone your skills in complex data querying, a pivotal aspect of data engineering.

The sixth section deals with optimizing 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 Snowflake model, both essential in designing efficient databases.

Section seven delves into performance and control, where you will master stored procedures, User-Defined Functions (UDFs), temporary tables, materialized views, and transactions. These concepts enhance your capabilities to manage and optimize databases for peak performance.

The final section allows you to put all the knowledge you’ve gained into practice with a series of challenging exercises. These practical tasks are designed to cement 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 be proficient in SQL’s advanced features and capable of designing, managing, and optimizing databases effectively.

Whether you’re a budding data engineer or an experienced professional seeking to enhance your skills, this course has you covered!

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• 1 stars: 18 votes
• 2 stars: 24 votes
• 3 stars: 158 votes
• 4 stars: 505 votes
• 5 stars: 624 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!