Unit 1: SQL and Data Engineering
Unit 2: Extracting Data with SELECT
Unit 3: Data Types, Operators, and Functions
Unit 4: Data Validation with Constraints
SQL for Data Engineering Beginners
Master SQL for data engineering: Learn to extract, transform, and load data, design efficient schemas, and automate data pipelines.
Unit 1: Data Transformation Fundamentals
Unit 2: Data Loading Techniques
Unit 3: ETL Implementation with SQL
Unit 4: Data Loading Strategies
Unit 1: Fundamentals of Data Warehouse Schema Design
Unit 2: Star and Snowflake Schemas
Unit 3: Normalization and Denormalization
Unit 4: Creating and Managing Database Objects
Unit 1: Window Functions for Data Analysis
Unit 2: SQL Performance Optimization
Unit 3: Automating Data Engineering Tasks
Unit 4: SQL Security Best Practices