Systems | Development | Analytics | API | Testing

From Building at Pinterest and Airbnb to Revolutionizing AI at Kumo.AI

Join us for expert insights on how data is rewriting the rules and driving the future of innovation with Dr. Vanja Josifovski, CEO and Founder of Kumo.AI. In this episode, Dr. Vanja shares his approach to enterprise AI and reveals why a "data-forward organization" is the key to success. He also explains why integration speed is now the new competitive edge, and makes a compelling case for rebuilding outdated systems to achieve a 10x advantage.

No Code API Tutorial: Merge Tables and Create Virtual Joins Across different Databases

This brief demo outlines how DreamFactory automatically inspects the schema of any database API created, enabling a wide range of data mesh activities, such as merging tables and joining data across disparate databases using virtual joins. This significantly reduces development time and ensures data consistency across your entire data landscape.

No Code API Tutorial | Build a Secure REST API in 5 Minutes with DreamFactory

In this No Code API Tutorial, you’ll learn how to build a secure REST API in less than 5 minutes using DreamFactory — no coding required. This tutorial shows how to instantly generate a database API for your data products or front-end applications, saving you days or even weeks of development time. Here’s what you’ll discover in this step-by-step guide: How to connect to any SQL or NoSQL database instantly.

Predictable Scale: A Proven Methodology for Sustainable Business Growth (Pete Caputa, Databox)

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.

Visualizing BigQuery geospatial data in Colab

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.

Observe and Scale Mission-Critical Apps with Kong's API Platform + Dynatrace

Join us for a Dynatrace + Kong webinar where you’ll discover a complete OpenTelemetry-based observability solution, demonstrated through an end-to-end Kubernetes deployment: In this session, we’ll explore how to: Combining deep observability with robust platform and system management, this webinar will also show how Dynatrace and Kong work together to help teams deploy, operate, and scale mission-critical applications with confidence.

What are the primary objectives of manual testing compared to test automation?

Alex Martins, Katalon's VP of Strategy, explains that manual testing confirms application correctness through human checks, while test automation runs fast, repeatable regression tests to catch unintended changes and save time and cost. Follow Katalon for more insights in our series!