Advanced SQL for Data Engineering

Curriculum

• Setting up the environment and overview of relational databases Free

  6 Lessons 13 Min

  This section serves as both an introduction and foundation for the advanced SQL concepts you will encounter later in the course. It kicks off with a practical guide on setting up your SQL environment, providing you with step-by-step installation instructions to ensure you are well-prepared to start your SQL journey. The following lesson takes a step back to understand the fundamental framework of data storage and management: Relational Databases. We'll delve into how data is structured, related, and accessed within these systems, providing you with the context needed to understand more advanced topics. Next, we dive into the various subsets of SQL - Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), and Data Control Language (DCL). Each of these categories plays a different but vital role in the management and manipulation of data, and understanding their roles and usage will be critical for your progression. Lastly, the section concludes with an in-depth look at SQL syntax. Good command of SQL syntax is crucial to write efficient and error-free SQL queries. This lesson will ensure you're well-versed in the language of SQL, providing a solid foundation upon which to build as the course progresses.

  Introduction to the course Free

  Coure GitHub repository Free

  Setting up the environment Free

  An overview of relational databases Free

  DDL, DML, DQL, DCL Free

  SQL syntax Free
• Manipulating databases: Mastering essential SQL statements

  8 Lessons 18 Min

  This part of the course equips you with the tools to manipulate databases using key SQL statements. Beginning with the creation of databases, we explore how to modify, add to, update, and delete data using various SQL commands. You'll learn how to combine operations using the MERGE statement and wrap up the section by learning how to safely remove data and tables with the DROP statement. This section will empower you to control your databases effectively.

  Intro SQL statements

  CREATE

  ALTER

  INSERT

  UPDATE

  DELETE

  MERGE

  DROP
• Timing is everything: managing and manipulating DateTime in SQL

  4 Lessons 14 Min

  It is time to delve into the world of DateTime in SQL. You'll understand the importance and varied types of DateTime data in SQL, how timezones affect data, and the use of intervals for calculations. By the end of this section, you'll be proficient in handling date and time-based data, a crucial aspect of any database management system.

  DateTime intro

  Different DateTime types

  Timezones

  Intervals
• Complex data types: ENUMs, ARRAYs, Ranges, and Nested data in SQL

  4 Lessons 18 Min

  We venture into the realm of complex data types in SQL. We'll start by learning about ENUMs and ARRAYs, and then move on to Ranges and Nested Data. This section will give you the knowledge and skills needed to handle a variety of data types, enhancing your database design and management capabilities.

  ENUM

  ARRAYs

  RANGE

  Nested data
• Advanced query techniques: exploring OVER, JOINS, CASE and more in SQL

  9 Lessons 32 Min

  Expand your querying capabilities by introducing advanced SQL techniques. You will explore the power of the OVER clause, dive deep into different types of JOINS, and learn to use CASE for conditional logic. With additional lessons on functions like COALESCE, CONCAT, and Recursive CTE, this section will elevate your SQL skills to a new level.

  OVER

  CROSS JOIN

  LATERAL JOIN

  CROSS JOIN LATERAL

  COALESCE

  CASE

  CONCAT

  Recursive CTE

  Recursive CTE - second part
• Optimizing data structures: The art and science of data normalization in SQL

  4 Lessons 9 Min

  Focus on optimizing data structures through Data Normalization. You'll learn about the principles of data normalization and their importance in creating efficient, reliable databases. This section will equip you with the knowledge to design and implement database schemas effectively.

  Data normatlization (1/3)

  Data normatlization (2/3)

  Data normatlization (3/3)

  STAR schema Snowflake
• Performance and control: Mastering stored procedures, temporary tables, and control structures in SQL

  7 Lessons 26 Min

  Introduction to performance and control features in SQL. We'll learn about stored procedures and user-defined functions, temporary tables, and materialized views. Plus, we'll discuss SQL transactions and control structures. By the end of this section, you'll have a deeper understanding of database performance and control mechanisms in SQL.

  Stored procedures and UDFs (1/3)

  Stored procedures and UDFs (2/3)

  Stored procedures and UDFs (3/3)

  Temp table

  Materialized view

  Transactions

  SQL structures
• Practical tasks

  4 Lessons 11 Min

  A series of practical tasks that will help you reinforce what you have learned in the Advanced SQL for Data Engineers course

  Question 1

  Question 2

  Question 3

  Question 4