Snowflake Feature Store and Datasets

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Snowflake ML has now introduced Snowflake Feature Store, which can improve collaboration, break down data silos, and facilitate feature reuse. Datasets are another great new feature, offering data versioning to drive model result reproducibility. In this course, learn how to use Snowflake Datasets for various data operations, including materializing DataFrames into datasets and managing versions, building a Snowflake ML pipeline for logistic regression, and creating and applying model tags. Next, discover how to utilize Snowpark-optimized warehouses for hyperparameter tuning, register tuned models with the Snowflake Model Registry, and create feature stores and entities using Snowpark APIs. Finally, explore how to build managed feature views and the workflow of feature stores. After course completion, you will be able to use Snowflake Feature Store and datasets.