Microsoft

Learn how to effectively implement integration patterns to leverage Azure OpenAI with Snowflake and features including Snowpark External Access and Streamlit. 

Build a Streamlit application that leverages Snowpark External Access in Snowflake with Azure OpenAI to generate a response from leveraging context from Snowflake data.

Discover the common business cases for using generative AI and the patterns for using Snowflake with Azure OpenAI to generate insights from your data in Snowflake.

Snowpark and AzureML can efficiently be used to prepare data, train models and deploy a model for inference all while leveraging the rich features of both platforms. This blog explores how to work with Snowpark in conjunction with AzureML. 

Join ML experts from Snowflake and Microsoft to:

• Break down Snowflake platform components, including Snowpark, to help you think about your data and feature pipeline architecture

• Get deep insight into updates on integrations that streamline how you bring features into your models using Azure Machine Learning

• Learn how to use the joint solution through a walk through demo

This quickstart is designed to serve as an introduction to using AzureML with Snowpark for model development and deployment to Snowflake. The idea is that users can build off this quickstart or integrate components into their existing AzureML workloads.

This blog summarizes recent improvements and best practices for using Snowflake and Power BI together. In it, you will learn why Power BI remains one of the most popular business intelligence partner tools that Snowflake customers use to visualize, analyze and report on their most important business data - all while keeping that data inside Snowflake.

Learn how to make data-driven decisions that optimize operations, enhance customer experiences, and drive profitability.

In this step-by-step guide, you will learn how to easily transform raw data into an optimal format for analysis within Power BI and Snowflake. 

Explore hands-on with Azure Data Factory and Snowflake, demystifying ETL and ELT intricacies and emphasizing the importance of robust data orchestration.  This guide takes you through DataOps principles, assisting in the configuration of pipelines and data flows for a smooth data journey.

Build an architecture that demonstrates how to use Azure Data Factory to orchestrate data ingestion from an Azure SQL transactional database into Snowflake to generate powerful analytical insights.

This blog outlines the native Snowflake support offered for Azure Data Factory and a few suggestions for getting started.