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Template‑Driven Modelling
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Code‑Centric Automation
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Scalable Execution with Snowflake
Introducing the Presenter
Viktor Hrtánek
Data and Software Engineer
Viktor is a Data and Software Engineer who bridges data architecture and application development. He specializes in Data Vault automation and building efficient cloud data pipelines. As the developer of Stream2Vault (S2V), a Python-based CLI for generating and deploying Data Vault models, he demonstrates how to apply strong engineering principles to Data Vault 2.0 to build scalable, intuitive and performant
A Simpler Way to Build a Data Vault Using Templates and Code
If you’ve ever worked on a Data Vault project, you know how quickly things can spiral into complexity. In his talk, Viktor Hrtánek shared a refreshing approach that keeps things clean and manageable by treating Data Vault modeling more like software development than drag and drop configuration. Here’s the short version of what he covered. Start With the Target Model Not the Sources Most projects begin by loading source systems and shaping the model around whatever those tables look like....
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