Big Data Nights #2: Synthetic Data in Action - Proof of Concept in Real World Scenarios

Location

SoftServe HQ, Charles de Gaulle Plaza, 12th floor - Bucharest, Romania

Time

12 November at 6:00 PM

Why Join

Imagine solving real-world business problems with data you create yourself. In this hands-on proof of concept, you'll learn how to generate synthetic data using Python, simulating real-life scenarios to meet specific business needs. From there, you’ll dive into dbt models, transforming that raw data into meaningful insights to answer key business questions. Finally, with pgAdmin 4, you’ll get to explore and analyze the transformed data, seeing firsthand how it can drive decision-making.

This session is designed to give you practical experience from start to finish—creating, transforming, and analyzing data in a fully local environment. Whether you're new to synthetic data or looking to refine your skills, you'll leave with the tools to build scalable pipelines and apply them to real-world situations.

Ready to take your data skills to the next level? Join us for an interactive session that will unlock new ways to turn synthetic data into actionable insights and solve business problems with ease!

About the Speaker 🎤

Roman Murzac is a Big Data Engineer with a background in AWS and GCP, certified as a GCP Professional Data Engineer. Leveraging extensive expertise, he delivers cutting-edge data solutions. With a PhD in Industrial Engineering and 5 years of experience as a University Lecturer, he has a deep passion for teaching and sharing knowledge. Since transitioning to Data Engineering, Roman has continued to educate others through training and courses. Also, he creates learning resources for those entering the field of Big Data, helping professionals and organizations build robust data systems.