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Project overview
In this project, you’ll assume the role of a data engineer working with historical Major League Baseball game data compiled by Retrosheet. You’ll design a normalized database schema, create tables using SQL, and migrate data from CSV files into the database.
This hands-on project will strengthen your data engineering skills as you work with real-world data. You’ll learn how to design an efficient database schema, use SQL to create and populate database tables, and transform raw data into a queryable format. These are essential skills for managing and analyzing large datasets.
Objective: Apply data modeling and SQL skills to design and build a normalized database for Major League Baseball game statistics, enabling efficient storage and analysis.
Key skill required
To complete this project, it's recommended to build these foundational skills in SQL
- Connecting to and querying SQLite databases using SQL
- Creating, modifying, and populating normalized database tables
- Writing complex SQL queries to analyze data across multiple tables
- Organizing SQL queries for readability using formatting and views
Projects steps
Step 1: Exploring the Data
Step 2: Importing Data into SQLite
Step 3: Looking for Normalization Opportunities
Step 4: Planning a Normalized Schema
Step 5: Creating Tables Without Foreign Key Relations
Step 6: Adding the Team and Game Tables
Step 7: Adding the Team Appearance Table
Step 8: Adding the Person Appearance Table
Step 9: Removing the Original Tables
Step 10: Next Steps
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