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Sql For Data Engineers Designing And Building Data Pipelines
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.65 GB | Duration: 4h 12m
Master SQL essentials, advanced techniques, and pipeline design to build robust data solutions.
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.
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!
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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