Advanced SQL Project: Design and Manage a Database
2h 24mAdvanced2024-08-20
Authors
Walter Shields
Tech Educator and Best-Selling Author
Course details
Learn how to design, implement, and optimize databases using SQL and ETL processes. Review the nuances of database needs and planning, and then conceptualize a music database, identify requirements, and create initial conceptual models. Explore normalization techniques, designing data pipelines, and applying advanced error handling strategies. Practice writing a range of SQL queries from basic to complex, and optimizing these queries for performance and efficiency. Join Walter Shields in this advanced course that features hands-on projects so you can design your own database. This course is ideal for DBAs, data engineers, and any IT professional eager to master database management.
Skills covered
SQLDatabase AdministrationData EngineeringDatabase DevelopmentDatabase ManagementData AnalysisProgramming LanguagesData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Advanced SQL project intro
- 02 - What you should know
- 03 - Using the course exercise files
Module 1 - Understanding Database Needs and Planning
- 04 - Conceptualizing the music database
- 05 - Identifying requirements and purpose
- 06 - Brainstorming entities and relationships
- 07 - Creating an initial conceptual model
Module 2 - Implementing Database Design
- 08 - Introduction to database normalization
- 09 - Normalization forms
- 10 - Applying normalization
- 11 - Refine normalized schema
Module 3 - Extract, Transform, Load (ETL) Basics
- 12 - Overview of ETL processes and tools
- 13 - ETL in the music database
Module 4 - Loading Data into the Database
- 14 - Understanding data pipelines
- 15 - Building the data pipeline
- 16 - Validation techniques
- 17 - Advanced error handling and logging
Module 5 - Writing Basic to Complex SQL Queries
- 18 - Introduction to SQL queries (basic, aggregate, joins)
- 19 - Exploring and analyzing music data
Module 6 - Query Optimization and Large Dataset Management
- 20 - Techniques for optimizing SQL queries
- 21 - Handling and querying large datasets efficiently
Module 7 - Bringing It All Together
- 22 - Final project
- 23 - Final project solution
Conclusion
- 24 - Reflect on the knowledge and skills acquired
- 25 - Career opportunities
- 26 - Further learning resources and pathways