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TUTBB · 2026-06-28T17:54:54+0100

SQL for Data Engineer Core SQL Queries & Database Operation
Published 6/2026
Created by Harsh Bansal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 41 Lectures ( 12h 22m ) | Size: 6.1 GB
Master DDL, Constraints, SELECT Queries, CRUD, Aggregations, and Joins - write real SQL used in production data systems

What you'll learn

Create and alter database structures using DDL (CREATE, ALTER, DROP, TRUNCATE) and learn exactly how table schemas evolve safely across production systems

Design tables with PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK, and DEFAULT constraints to enforce real data integrity before it ever reaches a pipeline.

Write precise SELECT queries using WHERE, comparison and logical operators, LIKE, IN, BETWEEN, ORDER BY, and LIMIT/OFFSET pagination for clean, correct results.

Perform real-world CRUD operations: multi-row INSERT, INSERT using SELECT, conditional UPDATE, DELETE, and the MERGE/UPSERT logic used in real ETL pipelines.

Summarize and analyze data using COUNT, SUM, AVG, MIN, MAX with GROUP BY and HAVING, and understand the exact query execution order behind every single result.

Combine data across multiple tables using INNER, LEFT, RIGHT, FULL OUTER, CROSS, SELF, and NATURAL JOINs while avoiding common Cartesian product row pitfalls.

Confidently explain the difference between DELETE vs TRUNCATE vs DROP and WHERE vs HAVING, both common traps frequently asked in Data Engineering interviews.

Build a true Data Engineering mindset for SQL by learning not just the commands, but how databases actually process queries inside real-world data systems.

This course is MySQL-focused, but every concept and query you learn applies directly to PostgreSQL, DBeaver, and other RDBMS platforms you may already use.
Requirements

No prior coding or programming experience required - if you can use a computer, you can follow along

A computer (Windows, Mac, or Linux) with internet access - all tools used in this course are free (MySQL)

If you're completely new to databases with zero prior exposure, start with my course "SQL for Data Engineer: Database Fundamentals & Core Concepts" first - if you already understand the basics, you can dive straight into this one

Just bring curiosity about how data moves, is stored, and powers real systems - that mindset is what Data Engineers are built on
Description
If you've completed my SQL Beginner course -SQL for Data Engineer: Database Fundamentals & Core Concepts - this course is your natural next step. And if you're joining directly with some basic SQL exposure already, you'll still be able to follow along comfortably.
If you're working toward becoming a Data Engineer, Data Analyst, ETL Developer, BI Developer, Analytics Engineer, or any Software Engineer who works with data, SQL is one of the most important skills you'll ever build - and this course is designed to teach it the way it's actually used in real data systems, not just as a list of commands to memorize.
Why this course is different
Most SQL courses focus purely on syntax: here's a command, here are two examples, next topic. But real projects don't work that way. You need to understandwhy a feature exists,when to use it (and when not to), how databases process queries behind the scenes, and what mistakes even experienced developers make.
This course is built with a strong Data Engineering perspective. For every topic, we go beyond the basic definition - exploring multiple ways to write the same query, real-world edge cases, common pitfalls, and the "hidden behaviors" that most developers only discover after years on the job. Many of these concepts are normally learned the hard way, much later in a career - here, you'll learn them early, so you build strong habits from day one.
What you'll learn

Data Definition Language (DDL): CREATE DATABASE and TABLE, ALTER TABLE operations, the real difference between DROP and TRUNCATE, and how renaming tables/columns can create unexpected issues.

Constraints & Data Integrity: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK, and DEFAULT - and why these exist to enforce business rules and keep data clean and reliable.

SELECT Queries: filtering, expressions, aliases, comparison and logical operators, pattern matching, sorting, and pagination - plus the execution logic and interview-style scenarios behind them.

CRUD Operations (DML): INSERT, UPDATE, DELETE, multi-row inserts, INSERT using SELECT, conditional updates, and MERGE/UPSERT concepts used heavily in real ETL pipelines.

Aggregate Functions & Grouping: COUNT, SUM, AVG, MIN, MAX, DISTINCT, GROUP BY (including multiple columns), HAVING, and the crucial difference between WHERE and HAVING.

Table Relationships & Joins: INNER, LEFT, RIGHT, FULL OUTER, CROSS, SELF, and NATURAL JOINs - how they work internally, common pitfalls, duplicate-row problems, and Cartesian products to avoid.
While the course is taught using MySQL, every concept applies directly to PostgreSQL, DBeaver, and other RDBMS platforms - so you're free to follow along on whichever tool you already use.
The goal
By the end of this course, you shouldn't just know SQL syntax - you shouldunderstand SQL. How databases think. How queries actually execute. How relationships between tables are built. How aggregation behaves under the hood. Whether you're preparing for Data Engineering interviews, building ETL pipelines, working in analytics, or simply leveling up your SQL skills, this course gives you both the conceptual depth and the hands-on practice to work confidently with real data.
Let's get started.
Who this course is for

Aspiring Data Engineers who already understand SQL basics and are ready to start writing real DDL, DML, and query logic used in actual data systems.

Students who completed my SQL Beginner course (or have equivalent foundational knowledge) and want to move from "why it works" to "how to write it."

Data Analysts, BI Developers, Analytics Engineers, or anyone working with data who wants to confidently write queries, joins, and aggregations on their own.

Professionals preparing for Data Engineering or SQL interviews, where questions on JOINs, constraints, and aggregate logic come up again and again.

Self-taught learners who know basic SQL commands but have gaps in joins, constraints, or aggregation - this course fills that missing applied layer clean

Anyone who wants to learn core SQL from scratch and go beyond "knowing the syntax" to actually understanding how databases enforce rules, relate tables, and process real queri
Homepage

Code:

https://www.udemy.com/course/sql-for-data-engineer-core-sql-queries-database-operation

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SQL for Data Engineer Core SQL Queries & Database Operation

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