Data Vault Training Course.

 

A completely free Data Vault course. In this course, you will learn the basics of building a Data Vault and why it is better than a traditional DWH.

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About the Author

 

Solomonov Anton

 

👨‍💻 Experienced Data Engineer, specialist in Big Data and Microsoft Azure.
🔹 Certified Microsoft BI Developer with successful projects in Power BI, Hadoop, Python, DataBricks, Azure, MS SQL.
🔹 Participated in international projects for Mars, Sandvik, Ingosstrakh, and other companies.
🔹 Implemented large-scale projects for data warehousing, self-service BI, and analytics automation.

 

Key Achievements

🚀 Developed a cost distribution system using Hadoop and PySpark, enabling predictive modeling.
🚀 Led the creation of a corporate DWH on the Azure platform.
🚀 Established a BI competence center, trained employees, and introduced self-service BI.

 

This course is the result of years of experience and practice that will help you understand Data Vault and implement it in real-world projects.


What to Expect in This Course?

Understanding Data Vault: Evolution of data warehousing and differences from traditional models (Inmon, Kimball).
Hands-on Practice: Building a Data Vault from scratch in MS SQL Express using Python (Pandas) and SQL.
Automation: Working with tools for generating ETL processes and managing metadata.
Analytics and BI: Building data marts and visualization in Power BI.

This course will help you master a modern approach to Data Engineering, enhance your qualifications, and implement cutting-edge solutions in your company.

Who Is This Course For?

🔹 Data Engineers – for working with next-generation data warehouses.
🔹 BI Developers – for understanding data structures and building analytics.
🔹 Data Architects – for designing efficient storage models.
🔹 Anyone interested in diving into the world of data management!

How Does the Training Work?

🎥 Text-based lessons with theoretical breakdowns and practical examples.
📂 Ready-made code templates and SQL scripts for work.
🚀 Real Project: You will create a Data Vault based on the Airline Dataset (aviation statistics).
💬 Support: Answers to questions and explanations of complex topics.