Course Description

"Data Warehouse for Data Engineering with Snowflake" is an extensive course designed to equip learners with a strong foundation in data warehouse concepts using the modern data platform, Snowflake. This course covers everything from basic data warehouse architecture to advanced dimensional modeling, with hands-on projects that use Snowflake, Python, and cloud technologies.

What Students Will Learn

• Understanding the fundamentals and benefits of data warehouses.
• Dimensional modeling and its importance in data warehousing.
• Comprehensive knowledge of various schemas like Star and Snowflake.
• Building ETL (Extract, Transform, Load) pipelines and understanding the difference between ETL and ELT.
• Deep dive into Snowflake, including architecture, SQL practice, and performance optimizations.
• Executing end-to-end data engineering projects involving real-world data pipelines using Snowflake, AWS, and Python.

Prerequisites

Participants ideally should have basic knowledge of SQL and a general understanding of databases. Familiarity with Python and cloud computing concepts will be beneficial but not mandatory, as the course will provide detailed notes and scripts.

Course Coverage

• Data Warehouse Basics - Concepts, benefits, and methodologies.
• Dimensional Modeling - Techniques and practices for designing fact and dimension tables.
• SnowflakeDB - Usage, account setup, SQL practices, and architecture.
• ETL Processes - Strategies for efficient data integration.
• Snowflake - Advanced topics on performance, unstructured data handling, and data sharing.
• Mini Projects and Case Studies - Practical applications using Snowflake, AWS, and Python in real-world scenarios.

Who This Course is For

• Cloud Data Engineers
• IT Analysts
• Technical Consultants
• Web Developers interested in data processing
• Data Engineers in Service companies
• Systems Engineers
• Professionals looking to transition into Data Engineering roles in product companies

Real-World Application

The skills acquired from this course are immediately applicable in a variety of professional scenarios. Learners can build data warehouses for business intelligence, perform data analysis for strategic decision-making, or implement modern data solutions in cloud environments. The course framework is designed to enhance one’s credentials for roles in data engineering, preparing them for challenges faced in diverse corporate settings.