Demo Day - Achieve Unified Data Engineering and Data Science!

Building Scalable Feature Engineering Pipelines with Snowpark Python and Scikit-Learn

In a typical machine learning (ML) workflow, data science teams develop features in subsets of data and to take models into production, engineering teams are burdened with re-coding feature pipelines

Streamlining MLOps from Experiment to Production

The value of machine learning (ML) is largely unrealized, as most models are never deployed in production. This disconnect between experiments and production can be attributed to siloed data, tools, a

Virgin Media Ireland Scales Up to Empower Local Operations with Snowflake’s Data Cloud

How DataOps Accelerates Snowpark Deployments for Production AI and ML Workloads

Keynote: The Engine & Platform Innovations Running the Data Cloud

Migrating from Spark to Snowflake with phData

Spark can be a powerful tool in the right situation, but working with Spark isn’t always easy. Migrating Spark to Snowflake aims to enable a wider audience of users to share a common platform and supp