Systems | Development | Analytics | API | Testing

How do you scale faster without burning out your team or chasing shiny tactics that don’t move the needle? Databox CEO Pete Caputa unveils Predictable Scale — a new methodology for building strategy, focus, and repeatable systems so you can grow with confidence. In this interview, Pete shares his SPEARS framework (Strategize, Plan, Execute, Adjust, Repeat, Scale), how to use data to set smarter goals, and why radical transparency accelerates alignment and results.

We build resilient data infrastructures the world’s innovators rely on. Together, we power what’s possible and create real-world impact through data.

Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data.