Resources

Join us for a live guided tour of key functionality in Snowflake. An instructor will walk you step-by-step through how to get started with sample code and data using the free trial. 

Snowflake Notebooks offer an interactive, cell-based programming environment for Python and SQL. With a Snowflake Notebook, you can perform exploratory data analysis, experiment with feature engineering for machine learning, and perform other data science tasks within Snowflake.

Snowflake Cortex Knowledge Extensions allow teams to integrate up-to-date, licensed third-party information, such as news, research, and specialized publications, directly into their AI systems. This integration respects publishers' intellectual property while enabling access to relevant and current knowledge.

In this guide, you'll learn how to build and deploy a complete machine learning workflow entirely within Snowflake ML. You'll work through a mortgage lending prediction use case, implementing each stage of the ML lifecycle from feature engineering to model deployment and monitoring.

Forecasting is a business process that predicts future events over time based on historical time-series data, and has cross-industry applicability and utility in nearly every organization. Multiple business units can benefit from this modelling technique to more accurately predict performance, demand, or or any activity that can lead to improved business reactivity and optimization.

Within this Quickstart, we will walk through how to train and leverage a Document Extraction Model using Document AI. We will use this model to convert unstructured Inspection Reports into structured, easy-to-analyze rows and columns all within the Snowflake AI Data Cloud.