Day 1: Introduction to Data Warehousing and Basics of Tools
Basics of Data Warehousing
Data warehouse architecture: concepts and components
Comparison of traditional and cloud data warehouses
Amazon Redshift
Architecture and basic functions of Redshift
Loading data into Redshift, creating tables and SQL queries
Google BigQuery
Architecture and basic functions of BigQuery
Importing data, creating and executing SQL queries
Workshop: Creating and Managing a Data Warehouse
Implementing basic operations in Redshift and BigQuery
Query optimization and performance analysis
Day 2: Advanced Techniques and Practical Applications
Snowflake
Architecture and basic functions of Snowflake
Loading data, creating structures and SQL queries
Optimization and Scaling of Data Warehouses
Performance optimization techniques in Redshift, BigQuery, and Snowflake
Scaling data warehouses and resource management
Workshop: Practical Applications and Integrations
Implementing advanced operations in Snowflake
Integrating data warehouse tools with other cloud services
Deploying and Managing Data Warehouses
Preparing and deploying data warehouses in a production environment
Monitoring, managing, and maintaining data warehouses