SQL for Data Engineers Designing and Building Data Pipelines

Name: SQL for Data Engineers Designing and Building Data Pipelines
Rating: 3.6 (65 reviews)

Master SQL essentials, advanced techniques, and pipeline design to build robust data solutions.

Created byAkhil Vydyula

Last updated 8/2024

English

What you'll 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.

Course content

12 sections • 38 lectures • 4h 11m total length

Introduction ot SQL8:17
Understanding SQL Intuition and DDL Basics6:16
Authorization and DDL Commands8:33
Explore authorization and ddl commands, including read and insert permissions, updates, and constraints; learn about slowly changing dimensions and scd type 2, domain constraints, and assertions.
Advanced DDL: ALTER, DROP, and RENAME8:06

Comprehensive DDL Concepts4:55
Explore data definition language concepts to design schemas, define constraints, and understand how DDL, data manipulation language, and transaction data control language enable normalization and referential integrity.
DDL Commands: Read, Insert, and Update Authorization5:10
Learn how read, insert, and update authorizations govern access in MySQL databases, and review DDL and DML concepts, including create, alter, drop, rename, constraints, and slowly changing dimensions type two.
Primary Key Constraints and Auto-Increment5:27

Table and Column Alterations4:45
Learn to alter table structures using sql, adding or modifying columns, setting data types and constraints (primary key, not null), and dropping or renaming columns or tables.
Data Manipulation Language (DML) Basics3:36
SELECT Command: Advantages, Limitations, and Challenges6:12
Explore data manipulation language basics, including the select command, and contrast procedural and declarative DML; learn how declarative queries optimize retrieval and see examples with select, insert, update, and delete.

Foreign Key vs. Primary Key and TRUNCATE vs. DELETE6:53
Learn how primary keys uniquely identify records and how foreign keys link tables via project_id to enforce referential integrity, and compare truncate versus delete for data refresh.
SQL Procedures and Set Operations7:46
Explore SQL procedures to load big data tables and manage data with delete, truncate, and triggers, then master set operations including union, union all, and intersect to combine results efficiently.
Group By, Where, Fetch, Limit, and Distinct6:07

Requirements

Basic understanding of databases Familiarity with basic database concepts is recommended but not required.
Computer with internet access You'll need a computer with an internet connection to access course materials and SQL environments.
Willingness to learn No prior programming experience needed. All concepts will be explained from the ground up.

Description

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!

Who this course is for:

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.

SQL for Data Engineers Designing and Building Data Pipelines

What you'll learn

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Course content

Introduction to SQL and DDL Basics4 lectures • 31min

Deep Dive into DDL and Constraints3 lectures • 16min

Data Manipulation and Table Alterations3 lectures • 15min

DML Commands: INSERT, UPDATE, DELETE3 lectures • 21min

Data Control Language and Constraints3 lectures • 24min

Advanced SQL Operations3 lectures • 21min

Advanced Filtering and Examples3 lectures • 19min

Logical Operations and Grouping3 lectures • 22min

Limit and Offset Operations3 lectures • 20min

Advanced Join Techniques3 lectures • 19min

Requirements

Description

Who this course is for: