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PARTNERS
Microsoft
Snowflake and Microsoft provide the most comprehensive data stack to get more from your data. Build and securely run analytics and AI applications to empower everyone in your data-driven organization.
COMMITTED TO OPEN STANDARDS
With commitment to open standards through Apache Iceberg, Snowflake and Microsoft Fabric can share the same data set to eliminate data silos and enable you to use either engine for any of your diverse use cases, seamlessly.
LEARNING HUB
Virtual Hands-on Lab: Build and Deploy GenAI Apps with Azure OpenAI, Snowflake, and Streamlit
Learn how to effectively implement integration patterns to leverage Azure OpenAI with Snowflake and features including Snowpark External Access and Streamlit.
Quickstart: Using Snowflake with Azure OpenAI to build a RAG workflow
Build a Streamlit application that leverages Snowpark External Access in Snowflake with Azure OpenAI to generate a response from leveraging context from Snowflake data.
Virtual Hands-On Lab: Learn How to Use Generative AI with Snowflake and Microsoft Azure OpenAI
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.
Using AzureML with Snowflake Snowpark for Machine Learning
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.
Scale and Operationalize AI with Snowflake and Azure ML
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
Getting Started with Snowpark for Machine Learning on Azure ML
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.
Snowflake and Power BI: Best Practices and Recent Improvements
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.
Retail Sales with Microsoft Power BI
Learn how to make data-driven decisions that optimize operations, enhance customer experiences, and drive profitability.
Quickstart: End-to-End Analytics with Snowflake and Power BI
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.
Snowflake Connector for Microsoft Power Platform Now Available
The Snowflake Connector for Microsoft Power Platform provides instant access to up-to-date data within your Snowflake instance without manually integrating against API endpoints. Now anyone can easily build low-code applications or workflows on Power Platform that leverage Snowflake data without any previous technical or app development experience.
Quickstart: Getting Started with Power Apps and Snowflake
This quickstart will teach you how to configure a connection between Power Automate and Snowflake and run a simple query from Power Automate to query Snowflake data.
Introducing Updated Snowflake Connector for Microsoft Power Apps
Snowflake and Microsoft have enhanced the connector between Microsoft Power Automate, Power Apps and Snowflake. In this post, we provide guidance on how to implement this version.
Virtual Hands-on Lab: Effortless Data Orchestration: A Practical Guide to Azure Data Factory 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.
Quickstart: Getting Started with Azure Data Factory and Snowflake
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.
Snowflake Connector for Azure Data Factory (ADF)
This blog outlines the native Snowflake support offered for Azure Data Factory and a few suggestions for getting started.