Get advanced insights like forecasting, anomaly detection and sentiment analysis across all data sources. Govern and discover data across your entire architecture with a connected catalog …

Learn what a data warehouse is, how it works, key components, types, benefits and how Snowflake modernizes data warehousing solutions at scale.

With Snowflake, you can scale workloads dynamically based on demand, access different types of data — including structured, semi-structured, and unstructured — and share data easily.

Snowflake CLI and SnowSQL support both a configuration file and command line options for specifying a default warehouse. The drivers and connectors support specifying a default …

Explore best practices for data warehouse architecture and design to optimize storage, retrieval and analytics for scalable, high-performance data management.

From ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications, Snowflake helps you innovate faster and do more with your data.

Load Data into Snowflake Learn about the different options for getting data into Snowflake and setting up a pipeline to transform your data

In addition to being defined by its type as either Standard or Snowpark-optimized, a warehouse is defined by its size, as well as the other properties that can be set to help control and automate …

Our Data Warehousing Workshop is designed for learners who are new to Snowflake, or new to databases in general. This workshop is highly interactive with reflection questions, hands on …

Start with Snowflake’s built-in observability in a few simple steps, and seamlessly export telemetry data to your preferred third-party tools as needed. Evaluate gen AI quality, compare model …