An interactive Streamlit dashboard exploring the 2026 data engineering landscape. Analyze survey responses across personas, tech stacks, AI adoption, organizational challenges, pain points, and skills gaps.
- Persona Analysis: Find your tribe, regional benchmarks, solo vs team comparisons
- Tech Stack Explorer: Data architecture trends and tool adoption
- AI Insights: AI paradox analysis and skeptic profiles
- Organization: Leadership gaps, manager awareness, cost consciousness
- Pain Points: Interactive explorer and firefighting predictor
- Skills: Education alignment and semantic layer adoption gaps
Survey data from Joe Reis's Practical Data Engineering Survey.
pip install -r requirements.txt
streamlit run app.py