Data Warehouse for Data Engineering with Snowflake

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.


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.

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