Systems | Development | Analytics | API | Testing

From dashboards to decisions: Redefining data democratization and AI readiness

In this episode, Fivetran speaks with Paul Bruffett, VP of Enterprise Data & Analytics at Out of the Box Brands, to explore how organizations can truly democratize data, embed AI into everyday decisions, and prepare for a more digital, personalized future. From empowering teams with real-time insights to rethinking how generative AI fits into reporting and retail, Bruffett shares what it takes to build a data strategy that delivers value at every level of the business.

GitHub Copilot: Using AI to build a custom connector with Fivetran's Connector SDK

This tutorial demonstrates how to build a Fivetran Connector SDK custom connector using VS Code and GitHub Copilot. The demo showcases the end-to-end process of creating, testing, and deploying a connector that ingests tobacco problem reports from the openFDA API. What You'll Learn Resources.

GitHub Copilot: Using AI to build a custom connector with Fivetran's Connector SDK

This tutorial demonstrates how to build a Fivetran Connector SDK custom connector using VS Code and GitHub Copilot. The demo showcases the end-to-end process of creating, testing, and deploying a connector that ingests tobacco problem reports from the openFDA API.

Cursor: Using AI to build a custom connector with Fivetran's Connector SDK

This tutorial demonstrates how to build a Fivetran Connector SDK custom connector using AI assistance with Cursor, an AI code editor. The demo showcases the end-to-end process of creating, testing, and deploying a connector for the FDA Food Enforcement API.

Data-driven admissions: Optimizing enrollment with automation

Universities must integrate scalable, automated data solutions to centralize information, reduce inefficiencies, and enhance decision-making, ensuring a seamless, student-centric experience. To discuss how to do just that, Ilia Xheblati, Director of Analytics Engineering at Northeastern University, joined us to get to the heart of embracing scalable, automated data solutions so universities can eliminate inefficiencies, streamline decision-making, and create a more connected, student-centric experience.