Length: 17 MINUTE VIDEO Find out how data scientists use Snowflake. Learn about the features they benefit from and how Snowflake aligns to the workflow steps of preparing data, building models, and deploying them. We'll explore how the Data Cloud helps data scientists address their most common challenges, so they can focus their time and effort on solving complex data problems.

Length: 10 MINUTE READ [Click image to access blog]
Discover how easy it is to do Feature Engineering with Snowflake using the recently released Snowpark: a DataFrame API that enables data engineers, data scientists, and developers to use their preferred language and familiar program concepts, and then execute these workloads directly within Snowflake.

Length: 50 MINUTE VIDEO With Snowpark for Python, teams can now code with Python’s familiar syntax and execute with the superior performance, security, and near-zero maintenance of the Snowflake processing engine. In this demo you’ll learn more about how to write and execute exploratory data analysis and feature engineering code in Snowflake using Python DataFrames, and how to bring open-source libraries and frameworks into your pipelines with the Anaconda integration.

Length: 65 MINUTE LAB [Click image to access guide]
This project will demonstrate how to get started with Jupyter Notebooks on Snowpark. With this tutorial you will learn how to tackle real-world business problems as straightforward as ELT processing but also as diverse as math with rational numbers with unbounded precision, sentiment analysis, and machine learning.

Length: 62 MINUTE VIDEO Snowflake has connectors to all the established and emerging data science technologies. This allows customers to choose the best data science tools for their needs, and all tools access a unified and consistent data platform.

Length: 27 MINUTE GUIDE [Click the image to access guide]
If your language of choice is Python, you'll want to begin here to connect to Snowflake. We’ll walk you through getting the Python Connector up and running, and then explore the basic operations you can do with it. You’ll find the Python Connector to be quite robust, as it even supports integration with Pandas DataFrames.

Length: 77 MINUTE GUIDE [Click the image to access guide]
This Snowflake Quickstart introduces you to the basics of using Snowflake together with Dataiku Cloud as part of a data science project. We’ll be highlighting some of the well-integrated functionalities between the two cloud-based technologies.

Length: 130 MINUTE GUIDE [Click the image to access guide]
Discover the ease at which it is possible to build and deploy machine learning models by leveraging the scale and performance of Snowflake and the automation of the DataRobot platform.

Length: 85 MINUTE GUIDE [Click the image to access guide]
H2O Driverless AI is a supervised machine learning platform leveraging the concept of automated machine learning. This tutorial presents a quick introduction to the Driverless AI platform via Snowflake Partner Connect.

Length: 50 MINUTE VIDEO During this session we’ll walk you through how to use Snowpark to build scalable data pipelines, communicate with externally hosted models with external functions, and how to deploy models inside Snowflake with UDFs.

Length: 30 MINUTE VIDEO As part of the Snowpark developer experience, customers can execute Java user-defined functions (UDFs) packaged in a JVM right inside Snowflake’s powerful processing engine for better performance, scalability, and concurrency. These Java UDFs can be used for data preparation and enrichment pipelines, implementing custom business logic, and even to run machine learning model inference. In this session we’ll demo how simple it is to get started with Java UDFs for your use case.

Length: 25 MINUTE VIDEO Learn how DataRobot AutoML and MLOps platforms integrate directly with Snowflake to provide users with increased efficiency for both training and scoring machine learning models. The integrations accelerate time to value with a focus on bringing the processes for training and scoring closer to where the data resides.

Length: 35 MINUTE GUIDE [Click the image to access guide]
Experience the power of AutoML to build and deploy a ML model using SQL from within Snowflake with the native integration to SageMaker Autopilot.