SQL for Data Engineers

Description

SQL is the backbone of working with relational databases, and if you’re getting into Data Engineering, mastering SQL is a must. That’s why we created this "SQL for Data Engineers" course for you. It’s designed to give you the essential SQL skills to work with databases effectively, helping you pull data, query it, and perform complex operations that will be key in your day-to-day tasks.

We start with the basics, like setting up your tools and working with SQLite and DBeaver, then move into more advanced SQL concepts. This is a hands-on course, so you’ll be practicing real queries and operations using the Chinook Database. You learn how to manage data, build efficient queries, and really understand what’s going on behind the scenes in a database.

By the end of the course, you’ll be confident in writing SQL queries, solving real-world data challenges, and working efficiently as a Data Engineer. Whether you’re aiming to land your first job in Data Engineering or just want to improve your current SQL skills, this course has you covered.

Introduction to Database Management and SQL

Begin your journey with an overview of Database Management Systems (DBMS) and the role of SQL in data engineering. Understand how relational databases store, manage, and query vast amounts of data, setting the stage for practical, hands-on learning.

Hands-On with the Chinook Database and Tools Setup

Get started with real-world data using the Chinook database, a sample dataset that allows you to practice key SQL concepts. I guide you through the installation of SQLite and DBeaver, essential tools for database management and query development, ensuring you are set up for success.

Mastering SQL Basics: DDL & DML

Here, we dive deep into SQL fundamentals, including Data Definition Language (DDL) and Data Manipulation Language (DML). You learn how to define, create, and manipulate database structures and data, enabling you to perform common tasks such as inserting, updating, and deleting records.

Advanced Querying: Select, Grouping, and Joins

Building on the basics, you will explore more advanced querying techniques. Learn how to write powerful SELECT statements, aggregate data with grouping functions, and efficiently join tables to extract meaningful insights from complex datasets. These skills are critical for real-world data analysis and reporting.

Transaction Control and Data Integrity

You will also master Transaction Control Language (TCL), essential for managing database transactions. Gain a deep understanding of how to maintain data integrity and consistency, ensuring your database interactions are both reliable and efficient.

Common Table Expressions and Subqueries

Simplify complex queries with common table expressions (CTEs) and subqueries. These powerful techniques make your code more readable and efficient, helping you tackle more intricate data scenarios.

Exploring Window Functions

Unlock the power of window functions in a dedicated four-part module. You start with the concepts and syntax, then dive into aggregate, ranking, and analytical functions. These advanced techniques allow you to perform sophisticated calculations across data rows, giving you a new level of analytical control.

Query Optimization and Indexing

Finally, we get into optimizing your queries and databases for peak performance. Learn about indexing strategies, focusing on best practices in SQLite and beyond, ensuring your SQL operations are efficient and scalable.