SQL for Data Engineers

1h 51m
English
Paid

SQL is the foundation for working with relational databases. If you plan to work in the field of Data Engineering, knowledge of SQL is not just a plus but a necessity. That's why we created this course: "SQL for Data Engineers". It will provide you with the essential skills for effective database management—from data extraction and analysis to executing complex queries and operations that you will encounter daily.

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What You Will Learn:

Introduction to Database Management and SQL

Get acquainted with Database Management Systems (DBMS) and the role of SQL in data engineering. Understand how relational databases store, manage, and process large volumes of data.

Practice with the Chinook Database and Tool Setup

You will start working with real data using the Chinook Database - an educational database that helps you master key SQL concepts. We will set up SQLite and DBeaver - necessary tools for managing databases and writing queries.

SQL Basics: DDL and DML

You will delve into the fundamental sections of SQL - Data Definition Language (DDL) and Data Manipulation Language (DML). Learn how to create, modify, and manage tables and records: insert, update, delete data.

Advanced Queries: SELECT, Grouping, and Joins

In the next stage, you will master advanced techniques for working with SELECT queries, aggregate functions, and JOINs. These skills are essential for working with multiple tables and extracting analytically valuable information.

Transaction Management and Data Integrity

You will study the Transaction Control Language (TCL) and understand how to maintain data integrity and reliability in working with DBMS.

Common Table Expressions and Subqueries

Learn to simplify complex SQL queries using CTE (Common Table Expressions) and subqueries, making your code more readable and maintainable.

Window Functions

In a separate four-part module, you will discover window functions: aggregate, ranking, and analytics. These allow you to perform calculations across rows with maximum flexibility.

Query Optimization and Indexing

At the end of the course, you will learn to optimize SQL queries and use indexes to improve performance. Special attention is given to practices in SQLite, but the principles apply to any relational DBMS.

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# Title Duration
1 Introduction 02:05
2 Database Management Systems & SQL 03:50
3 The Chinook Database 03:04
4 SQLite Installation 07:03
5 Dbeaver Installation 04:09
6 Data Types in SQLite 06:16
7 DML & DDL 15:07
8 Select Statements 06:04
9 Grouping & Aggregation 10:13
10 Joins 10:06
11 TCP Transaction Control Language 06:43
12 Common Table Expressions & Subqueries 10:27
13 Window Functions 1: Concept & Syntax 05:01
14 Window Functions 2: Aggregate Functions 07:25
15 Window Functions 3: Ranking Functions 06:06
16 Window Functions 4: Analytical Functions 07:21

Read Book SQL for Data Engineers

#Title
1SQL_For_Data_Engineers_Cheat_Sheet
2Query Optimization
3Indexing best practices

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