Data Warehousing Training
Level
IntermediateDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedData Warehousing Training
The Data Warehousing Training is an intensive two-day course focused on the practical application of leading data warehousing tools such as Amazon Redshift, Google BigQuery, and Snowflake. The training program is designed so that 80% of the time is dedicated to practical workshops, and 20% to theory. Participants will acquire the skills necessary to design, implement, and manage data warehouses in the cloud, working with real-world examples and use cases.
What You Will Learn
- How to design, implement, and manage data warehouses in Amazon Redshift, Google BigQuery, and Snowflake.
- How to optimize queries and improve performance in data warehouses.
- How to integrate data warehouses with other tools and cloud services.
- How to monitor, manage, and scale data warehouses in a production environment.
Required Technical Skills
- Basic knowledge of SQL.
- Fundamental understanding of databases and data processing.
- Ability to work in a cloud environment (AWS, GCP, or others).
Who is this training for?
Data engineers and analysts who want to expand their skills in data warehousing.-
Developers and IT specialists who want to utilize cloud tools for data management.
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Managers and team leaders aiming to understand and implement modern data warehousing solutions in their organizations.
Training Program
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Day 1: Introduction to Data Warehousing and Basics of Tools
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Fundamentals of Data Warehousing
- Data warehouse architecture: concepts and components
- Comparison of traditional and cloud-based data warehouses
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Amazon Redshift
- Architecture and basic features of Redshift
- Loading data into Redshift
- Creating tables and writing SQL queries
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Google BigQuery
- Architecture and basic features of BigQuery
- Importing data
- Creating and executing SQL queries
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Workshop: Building and Managing a Data Warehouse
- Implementing basic operations in Redshift and BigQuery
- Query optimization and performance analysis
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Day 2: Advanced Techniques and Practical Applications
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Snowflake
- Architecture and basic features of Snowflake
- Loading data, creating structures, and writing SQL queries
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Optimization and Scaling of Data Warehouses
- Performance optimization techniques in Redshift, BigQuery, and Snowflake
- Scaling data warehouses and resource management
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Workshop: Practical Applications and Integrations
- Implementing advanced operations in Snowflake
- Integrating data warehousing tools with other cloud services
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Deploying and Managing Data Warehouses
- Preparing and deploying data warehouses in production environments
- Monitoring, managing, and maintaining data warehouses
