Sql For Data Engineers Designing And Building Data Pipelines

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

[b]What you'll learn[/b]

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.

[b]Requirements[/b]

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.

[b]Description[/b]

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!

Overview

Section 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

Section 2: Deep Dive into DDL and Constraints

Lecture 5 Comprehensive DDL Concepts

Lecture 6 DDL Commands: Read, Insert, and Update Authorization

Lecture 7 Primary Key Constraints and Auto-Increment

Section 3: Data Manipulation and Table Alterations

Lecture 8 Table and Column Alterations

Lecture 9 Data Manipulation Language (DML) Basics

Lecture 10 SELECT Command: Advantages, Limitations, and Challenges

Section 4: DML Commands: INSERT, UPDATE, DELETE

Lecture 11 INSERT Command: Pros and Cons

Lecture 12 UPDATE and DELETE Commands: Pros and Cons

Lecture 13 Transaction Control Language: COMMIT, ROLLBACK, SAVEPOINT

Section 5: Data Control Language and Constraints

Lecture 14 DCL and Domain Constraints

Lecture 15 Check Constraints and Table Constraints

Lecture 16 Primary and Foreign Key Constraints

Section 6: Advanced SQL Operations

Lecture 17 Foreign Key vs. Primary Key and TRUNCATE vs. DELETE

Lecture 18 SQL Procedures and Set Operations

Lecture 19 Group By, Where, Fetch, Limit, and Distinct

Section 7: Advanced Filtering and Examples

Lecture 20 HAVING vs. WHERE with Examples

Lecture 21 Match and Offset Functions

Lecture 22 MIN, MAX, IN, and NOT IN Operations

Section 8: Logical Operations and Grouping

Lecture 23 AND, OR, NOT Operations

Lecture 24 Grouping Sets and LIKE Operation

Lecture 25 Advanced Grouping and Join Operations

Section 9: Limit and Offset Operations

Lecture 26 LIMIT and OFFSET Clauses

Lecture 27 IN, NOT IN, and NULL Operations

Lecture 28 Join Operations: LEFT and RIGHT

Section 10: Advanced Join Techniques

Lecture 29 Inner and Outer Joins

Lecture 30 Full Outer and Cross Joins

Lecture 31 Hands-On: RANK and ROW_NUMBER

Section 11: Views and Triggers

Lecture 32 Dense Rank: Advantages and Limitations

Lecture 33 SQL Views: Creation, Updating, and Dropping

Lecture 34 SQL Triggers: Row Level vs. Statement Level

Section 12: Subqueries and Optimization

Lecture 35 Deleting Triggers and Complex Subqueries

Lecture 36 Subqueries and Query Optimization

Lecture 37 Comparison Operations and Introduction to Stored Procedures

Lecture 38 Stored Procedures with Parameters and Indexing in SQL

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.

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