These topics describe the concepts and tasks associated with using Snowflake.
Snowsight: The Snowflake Web Interface — Learn how to use Snowsight for your Snowflake operations:
Classic Console — Basic usage information for the Classic Console, as well as more detailed usage information for the Worksheets and History pages:
Virtual Warehouses — Key concepts and tasks for creating and using virtual warehouses to execute queries and perform DML operations, such as loading and unloading data:
Databases, Tables & Views — Key concepts and tasks related to understanding and working with Snowflake databases and tables:
Query Data in Snowflake — Key concepts and tasks for executing queries in Snowflake:
Date & Time Data — Reference information and examples for working with dates, times and timestamps, and time zones in Snowflake:
Semi-structured Data — Key concepts and tasks for working with JSON and other types of semi-structured data:
Unstructured Data — Key concepts and tasks for working with unstructured data:
Binary Data — Reference information and examples for working with binary data in Snowflake:
Snowflake Time Travel & Fail-safe — Key concepts and tasks for understanding how Snowflake maintains access to deleted and modified data, and also how Snowflake enables data recovery in the event of loss:
Continuous Data Pipelines — Key concepts and tasks for transforming and optimizing loaded data for analysis:
Replication and Failover/Failback — Key concepts and tasks for replicating and failing over databases across multiple Snowflake accounts, as well as redirecting client connections, for business continuity and disaster recovery:
Sample Data Sets — Key concepts and tasks for using the sample data sets provided with Snowflake:
Alerts and Notifications — Key concepts and tasks for sending email notifications in SQL (e.g. from a stored procedure, task, etc.) and setting up alerts to perform actions or send notifications when data in Snowflake meets certain conditions.