SQL in Containers: Mastering SQL with Docker and DBeaver

SQL in Containers: Mastering SQL with Docker and DBeaver, available at $54.99, has an average rating of 4.94, with 25 lectures, 15 quizzes, based on 42 reviews, and has 193 subscribers.

You will learn about Fundamentals of relational databases Installing and setting up Docker Understanding and using Docker commands Installing and configuring DBeaver Basic SQL commands and their applications Complex SQL commands Performing data filtering Utilizing SQL functions Creating and managing stored procedures Optimizing SQL performance This course is ideal for individuals who are Beginners: Those new to SQL and database management. or Data Engineers & Developers: who want to integrate SQL databases in their applications and master the language. or Data Analysts: Analysts looking to enhance their SQL skills for better data querying and analysis. or DBAs: Database administrators seeking to learn about Docker and DBeaver for managing databases in containers. or Students: Anyone interested in learning SQL using modern tools. It is particularly useful for Beginners: Those new to SQL and database management. or Data Engineers & Developers: who want to integrate SQL databases in their applications and master the language. or Data Analysts: Analysts looking to enhance their SQL skills for better data querying and analysis. or DBAs: Database administrators seeking to learn about Docker and DBeaver for managing databases in containers. or Students: Anyone interested in learning SQL using modern tools.

Enroll now: SQL in Containers: Mastering SQL with Docker and DBeaver

Summary

Title: SQL in Containers: Mastering SQL with Docker and DBeaver

Price: $54.99

Average Rating: 4.94

Number of Lectures: 25

Number of Quizzes: 15

Number of Published Lectures: 25

Number of Published Quizzes: 15

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of relational databases
Installing and setting up Docker
Understanding and using Docker commands
Installing and configuring DBeaver
Basic SQL commands and their applications
Complex SQL commands
Performing data filtering
Utilizing SQL functions
Creating and managing stored procedures
Optimizing SQL performance

Who Should Attend

Beginners: Those new to SQL and database management.
Data Engineers & Developers: who want to integrate SQL databases in their applications and master the language.
Data Analysts: Analysts looking to enhance their SQL skills for better data querying and analysis.
DBAs: Database administrators seeking to learn about Docker and DBeaver for managing databases in containers.
Students: Anyone interested in learning SQL using modern tools.

Target Audiences

Beginners: Those new to SQL and database management.
Data Engineers & Developers: who want to integrate SQL databases in their applications and master the language.
Data Analysts: Analysts looking to enhance their SQL skills for better data querying and analysis.
DBAs: Database administrators seeking to learn about Docker and DBeaver for managing databases in containers.
Students: Anyone interested in learning SQL using modern tools.

Description:

SQL is a fundamental skill for anyone working with databases, and in today’s rapidly evolving tech landscape, mastering SQL with modern tools is essential. This comprehensive course, “SQL in Containers: Mastering SQL with Docker and DBeaver,” is designed to equip you with the knowledge and skills needed to become proficient in SQL database management using Docker and DBeaver.

Who is this course for?

Beginners: Newcomers to SQL and database management seeking a solid foundation.
Data Engineers & Developers: Developers looking to integrate SQL databases into their applications/pipelines.
Data Analysts: Analysts aiming to enhance their SQL skills for better data querying and analysis.
DBAs: Database administrators interested in learning Docker and DBeaver for managing databases in containers.
Students: Anyone eager to learn SQL using modern tools and advance their career prospects.

What will you learn?

This course is divided into two sections:

Basics: You’ll start with the essentials, learning about relational databases, installing and configuring Docker, and understanding Docker commands. You’ll then delve into basic SQL commands, data filtering, aggregation, JOIN operations, and more.
Advanced: Once you’ve mastered the basics, you’ll move on to more advanced topics such as Common Table Expressions (CTEs), SQL functions, stored procedures, transaction control, authentication, and performance optimization.

Course Highlights:

Practical exercises with coding exercises for hands-on learning.
Modern tools like Docker and DBeaver for a real-world approach to SQL learning.
Comprehensive curriculum designed to make you proficient in SQL database management.

Why Enroll?

By enrolling in this course, you’ll gain the skills and knowledge needed to effectively manage SQL databases using Docker and DBeaver. Whether you’re a beginner or an experienced professional, this course will help you take your SQL skills to the next level and advance your career in database management.

Get Started Today!

Don’t miss out on this opportunity to master SQL with Docker and DBeaver. Enroll now and take the first step towards becoming a proficient SQL database manager!

Course Curriculum

Chapter 1: Basics

Lecture 1: Introduction

Lecture 2: Course Architecture

Lecture 3: Understanding relational databases

Lecture 4: Docker Installation

Lecture 5: Docker Installation Written Instructions

Lecture 6: Docker Introduction

Lecture 7: Docker Commands

Lecture 8: Introduction to Docker Commands

Lecture 9: DBeaver Installation

Lecture 10: Connecting DBeaver with Database Container in Docker

Lecture 11: Basic SQL Commands Overview

Lecture 12: Basic SQL Commands Quick Reading

Lecture 13: SELECT statement

Lecture 14: Data Filtering, WHERE statement

Lecture 15: LIKE wildcards

Lecture 16: Aggregation and GROUP BY

Lecture 17: JOIN operations: INNER, LEFT, RIGHT, FULL

Lecture 18: Conditional columns, CASE WHEN

Lecture 19: Set operations: UNION, INTERSECT, EXCEPT

Chapter 2: Advanced

Lecture 1: CTEs and WITH statement

Lecture 2: Functions

Lecture 3: Stored procedures

Lecture 4: Transaction Control, BEGIN, COMMIT, and ROLLBACK

Lecture 5: Authentication and Roles

Lecture 6: Performance Optimization

Instructors

Kiril Spiridonov
Data Engineer

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 3 votes
5 stars: 39 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu