CaSE: Conversations about Software Engineering

### Description How do teams actually make better architectural decisions—without gatekeepers, power imbalances, or meetings full of opinions instead of insights? In this episode, Andrew, Heinrich, Sven and Alex discuss how the advice process, architecture decision records, and practiced sociotechnics help to make software architecture collaborative and transparent.

Alex, Heinrich and Sven talk with Simon Harrer about his journey to data contracts and marketplaces from being PhD in Software Engineering and Software Engineering consultant. They discuss what a data contract is and how it is build up, can be discovered in a data marketplace and how it relates to a data product. They close with the unavoidable MCP topic in the context of a data marketplace.

The three of us talk with Christoph Windheuser about the styles in data architecture: data mesh, data lake (house) and data warehouse and how to make a decision. In between Christoph explains data quality, data lineage, and data catalog - cornerstones of any modern approach. We end with emerging trends, DuckDB and data governance.

In this episode of the CaSE Podcast, Mirko Novakovic, a seasoned entrepreneur and investor, shares his journey through the waves of technological innovation—from the early days of online banking to the rise of AI and open telemetry. We explore with him how the lessons learned in diverse industries, including the food business, can reshape our approach to software development and architecture, emphasizing the importance of curiosity, adaptability, and a solid grasp of the fundamentals.

In this episode of the CaSE Podcast, Sven Johann, Alex Heusingfeld, and Heinrich Hartmann dive into the concept of sensitivity points in software architecture, using the recent Volkswagen data leak as a striking example. They explore how seemingly minor architectural decisions and code changes can carry massive implications when balancing trade-offs like data privacy versus functionality. The trio also discusses the growing impact of AI-assisted development, reflecting on practical experiences with tools like ChatGPT, Cursor, and GitHub Copilot.