SQL for Data Engineers Designing and Building Data Pipelines

SQL for Data Engineers Designing and Building Data Pipelines, available at $54.99, has an average rating of 5, with 38 lectures, based on 1 reviews, and has 155 subscribers.

You will learn about Master SQL fundamentals Gain a deep understanding of SQL basics, including data definition and manipulation. Design and build efficient data pipelines Learn how to create robust and scalable data pipelines to manage and transform data. Implement advanced SQL techniques Explore complex SQL queries, joins, and performance optimization strategies. Ensure data integrity and security Understand how to enforce data integrity and apply security best practices in SQL. This course is ideal for individuals who are Aspiring data engineers Perfect for those looking to break into data engineering and build strong foundational skills. or Current data professionals Ideal for data analysts, BI developers, and database administrators seeking to enhance their SQL knowledge. or Tech enthusiasts Anyone with a keen interest in data and technology who wants to learn how to manage and manipulate data using SQL. or Students and graduates Great for students and recent graduates aiming to add a valuable skill to their resume and increase their employability. It is particularly useful for Aspiring data engineers Perfect for those looking to break into data engineering and build strong foundational skills. or Current data professionals Ideal for data analysts, BI developers, and database administrators seeking to enhance their SQL knowledge. or Tech enthusiasts Anyone with a keen interest in data and technology who wants to learn how to manage and manipulate data using SQL. or Students and graduates Great for students and recent graduates aiming to add a valuable skill to their resume and increase their employability.

Enroll now: SQL for Data Engineers Designing and Building Data Pipelines

Summary

Title: SQL for Data Engineers Designing and Building Data Pipelines

Price: $54.99

Average Rating: 5

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Master SQL fundamentals Gain a deep understanding of SQL basics, including data definition and manipulation.

Design and build efficient data pipelines Learn how to create robust and scalable data pipelines to manage and transform data.

Implement advanced SQL techniques Explore complex SQL queries, joins, and performance optimization strategies.

Ensure data integrity and security Understand how to enforce data integrity and apply security best practices in SQL.

Who Should Attend

Aspiring data engineers Perfect for those looking to break into data engineering and build strong foundational skills.

Current data professionals Ideal for data analysts, BI developers, and database administrators seeking to enhance their SQL knowledge.

Tech enthusiasts Anyone with a keen interest in data and technology who wants to learn how to manage and manipulate data using SQL.

Students and graduates Great for students and recent graduates aiming to add a valuable skill to their resume and increase their employability.

Target Audiences

Aspiring data engineers Perfect for those looking to break into data engineering and build strong foundational skills.

Current data professionals Ideal for data analysts, BI developers, and database administrators seeking to enhance their SQL knowledge.

Tech enthusiasts Anyone with a keen interest in data and technology who wants to learn how to manage and manipulate data using SQL.

Students and graduates Great for students and recent graduates aiming to add a valuable skill to their resume and increase their employability.

This comprehensive course is tailored for data engineers looking to master SQL and build robust data pipelines. Whether you’re just starting or aiming to enhance your existing skills, this course will provide you with the knowledge and tools needed to design, implement, and optimise SQL-based data pipelines effectively.

What You’ll Learn:

Foundational SQL Concepts: Gain a solid understanding of SQL and its core principles, including Data Definition Language (DDL) and Data Manipulation Language (DML).

Advanced SQL Techniques: Dive deep into advanced SQL topics such as constraints, joins, subqueries, stored procedures, and transaction control.

Practical Data Pipeline Design: Learn to design and build efficient data pipelines, ensuring data integrity, performance, and scalability.

Hands-On Projects: Apply your knowledge through practical projects that simulate real-world data engineering challenges, enhancing your problem-solving skills.

Optimization Strategies: Discover techniques to optimize SQL queries and data pipelines, improving performance and efficiency.

Key Features:

Interactive Lessons: Engaging video lectures and interactive exercises to reinforce learning.

Real-World Examples: Practical examples and case studies to illustrate key concepts and their applications.

Expert Instruction: Learn from experienced professionals who bring industry insights and best practices.

Flexible Learning: Self-paced course with lifetime access to materials, allowing you to learn at your convenience.

Target Audience:

Aspiring Data Engineers: Beginners looking to enter the field of data engineering and learn SQL from scratch.

Experienced Professionals: Data analysts, developers, and engineers seeking to deepen their SQL knowledge and enhance their data pipeline skills.

Tech Enthusiasts: Anyone interested in understanding how to manage and process data efficiently using SQL.

By the end of this course, you will have the skills and confidence to design and build efficient data pipelines, leveraging the power of SQL to manage and analyze data effectively. Enrol now and take the first step towards mastering SQL for data engineering!

Course Curriculum

Chapter 1: Introduction to SQL and DDL Basics

Lecture 1: Introduction ot SQL

Lecture 2: Understanding SQL Intuition and DDL Basics

Lecture 3: Authorization and DDL Commands

Lecture 4: Advanced DDL: ALTER, DROP, and RENAME

Chapter 2: Deep Dive into DDL and Constraints

Lecture 1: Comprehensive DDL Concepts

Lecture 2: DDL Commands: Read, Insert, and Update Authorization

Lecture 3: Primary Key Constraints and Auto-Increment

Chapter 3: Data Manipulation and Table Alterations

Lecture 1: Table and Column Alterations

Lecture 2: Data Manipulation Language (DML) Basics

Lecture 3: SELECT Command: Advantages, Limitations, and Challenges

Chapter 4: DML Commands: INSERT, UPDATE, DELETE

Lecture 1: INSERT Command: Pros and Cons

Lecture 2: UPDATE and DELETE Commands: Pros and Cons

Lecture 3: Transaction Control Language: COMMIT, ROLLBACK, SAVEPOINT

Chapter 5: Data Control Language and Constraints

Lecture 1: DCL and Domain Constraints

Lecture 2: Check Constraints and Table Constraints

Lecture 3: Primary and Foreign Key Constraints

Chapter 6: Advanced SQL Operations

Lecture 1: Foreign Key vs. Primary Key and TRUNCATE vs. DELETE

Lecture 2: SQL Procedures and Set Operations

Lecture 3: Group By, Where, Fetch, Limit, and Distinct

Chapter 7: Advanced Filtering and Examples

Lecture 1: HAVING vs. WHERE with Examples

Lecture 2: Match and Offset Functions

Lecture 3: MIN, MAX, IN, and NOT IN Operations

Chapter 8: Logical Operations and Grouping

Lecture 1: AND, OR, NOT Operations

Lecture 2: Grouping Sets and LIKE Operation

Lecture 3: Advanced Grouping and Join Operations

Chapter 9: Limit and Offset Operations

Lecture 1: LIMIT and OFFSET Clauses

Lecture 2: IN, NOT IN, and NULL Operations

Lecture 3: Join Operations: LEFT and RIGHT

Chapter 10: Advanced Join Techniques

Lecture 1: Inner and Outer Joins

Lecture 2: Full Outer and Cross Joins

Lecture 3: Hands-On: RANK and ROW_NUMBER

Chapter 11: Views and Triggers

Lecture 1: Dense Rank: Advantages and Limitations

Lecture 2: SQL Views: Creation, Updating, and Dropping

Lecture 3: SQL Triggers: Row Level vs. Statement Level

Chapter 12: Subqueries and Optimization

Lecture 1: Deleting Triggers and Complex Subqueries

Lecture 2: Subqueries and Query Optimization

Lecture 3: Comparison Operations and Introduction to Stored Procedures

Lecture 4: Stored Procedures with Parameters and Indexing in SQL

Instructors

Akhil Vydyula
Data Scientist | Data & Analytics Specialist | Entrepreneur

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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!