
Explore the four SQL language families—DQL, DDL, DML, and DCL—and learn their key statements for querying, defining structure, manipulating data, and managing access.
Use the update statement to modify existing table data by setting column values and applying a where clause to target specific records, as shown with an employee update.
Explore dates and times in Postgres, including timestamp with time zone, date formats, and UTC storage; learn functions like current_date, current_timestamp, date_trunc, and age to compute intervals.
Store and query nested data using jsonb in Postgres. Learn to index jsonb fields, fetch nested values, and update or remove keys.
Explore cross joins, the cartesian product, by pairing every row from two tables—advisors and buildings—to generate all possible combinations.
Use coalesce to return the first non-null value from multiple fields, as shown with salary defaulting to zero and a bonus column, and learn how input order affects the result.
Classify employees using the case statement in SQL, ordering conditions from salary tiers to handle else cases, with bonus-based refinements illustrating order sensitivity.
Explore recursive ctes to traverse hierarchical data, using union all and concatenation to build levels from boss to staff in an org chart, with practical analytics applications.
Master using a user defined function to compute department salary averages with a select statement, returning numeric via plpgsql, while favoring stored procedures for table manipulations.
Learn pgsql control structures in a sql block, including for and while loops, with variable declarations, a running sum, and a temporary table inside a transaction.
Do you want to become a data engineer?
Are you ready to take your SQL skills to the next level and stand out in today’s competitive, data-driven industry?
The Advanced SQL for Data Engineering course is designed to give you the edge you need. Whether you’re just starting out or looking to refine your expertise, this course will help you master the SQL techniques essential for solving real-world data challenges.
Across eight detailed sections, you’ll build a solid foundation and progressively dive into advanced topics. You'll begin by setting up your environment and gaining a deep understanding of relational databases. Then, you'll get hands-on with core SQL operations—Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), and Data Control Language (DCL).
But that’s just the start! As the course progresses, you’ll learn how to master advanced SQL techniques like database manipulation, DateTime management, and working with complex data types such as ENUMs, Ranges, and nested data. You’ll perfect key SQL statements like CREATE, ALTER, INSERT, UPDATE, DELETE, and more, preparing you to handle sophisticated data tasks.
What truly sets this course apart are the advanced query techniques you'll explore—OVER, different types of JOINS, CASE, CONCAT, and Recursive Common Table Expressions (CTEs). These are the techniques that top data engineers rely on to extract and manipulate complex datasets, making you a true SQL pro.
You’ll also deep dive into data optimization and design with lessons on data normalization, the STAR schema, and Snowflake model. Plus, you’ll master performance-enhancing techniques using stored procedures, User-Defined Functions (UDFs), materialized views, and transactions—key skills to ensure your databases run at peak efficiency.
And it doesn't stop there! By the end of the course, you’ll test your skills through real-world exercises that prepare you for the challenges of a real data engineering role.
Learn from a true industry expert. Shashank Kalanithi an experienced Senior Software Engineer with an extensive expertise in Data. He has worked as a Data Analyst, Data Scientist, and Data Engineer in leading Big Tech firms.
So, are you ready to become a SQL expert and elevate your career?
Enroll today in the Advanced SQL for Data Engineering course, and take the first step toward becoming a high-demand data professional. Your journey to mastering SQL starts here!