Behind the Data

Building resilient data pipelines for sensitive, high-impact use cases

Building high-volume, high-stakes, real-time data pipelines

How data superheroes use data modeling, AI and Snowflake Cortex

Automating the mundane, liberating the humans

The interaction between data, goal selection and rigorous analysis

Bringing a human perspective to data integration, mapping and AI

Building a vision and roadmap for data strategy projects

How rapid prototyping can accelerate complex data projects

The challenges of implementing AI in data systems
