Using Snowflake¶

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:

  • Snowsight quick tour

  • Getting started with Snowsight

  • Managing and using worksheets in Snowsight

  • Visualizing data with dashboards

  • Explore and manage database objects in Snowsight

  • Monitor query activity with Query History

  • Manage Snowflake Support cases

  • Set up and manage notification contacts for Snowflake

• Classic Console — Basic usage information for the Classic Console, as well as more detailed usage information for the Worksheets and History pages:

  • Using the Classic Console: General Usage Notes

  • Changing Your Password / Switching Your (Session) Role / Logging Out

  • Manage Your User Preferences

  • Using Worksheets for Queries / DML / DDL

  • Using the History Page to Monitor Queries

• 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:

  • Overview of warehouses

  • Multi-cluster warehouses

  • Warehouse considerations

  • Working with warehouses

  • Using the Query Acceleration Service

  • Monitoring warehouse load

• Databases, Tables & Views — Key concepts and tasks related to understanding and working with Snowflake databases and tables:

  • Understanding Snowflake Table Structures

  • Working with Temporary and Transient Tables

  • Working with external tables

  • Overview of Views

  • Working with Secure Views

  • Working with Materialized Views

  • Table Design Considerations

  • Cloning considerations

  • Data Storage Considerations

• Query Data in Snowflake — Key concepts and tasks for executing queries in Snowflake:

  • Working with Joins

  • Understanding How Snowflake Can Eliminate Redundant Joins

  • Working with Subqueries

  • Querying Hierarchical Data

  • Working with CTEs (Common Table Expressions)

  • Querying Semi-structured Data

  • Using Window Functions

  • Identifying Sequences of Rows That Match a Pattern

  • Using Sequences

  • Using Persisted Query Results

  • Computing the Number of Distinct Values

  • Estimating Similarity of Two or More Sets

  • Estimating Frequent Values

  • Estimating Percentile Values

  • Analyzing Queries Using Query Profile

  • Canceling Statements

• Semi-structured Data — Key concepts and tasks for working with JSON and other types of semi-structured data:

  • Introduction to Loading Semi-structured Data

  • Supported Formats for Semi-structured Data

  • Considerations for Semi-structured Data Stored in VARIANT

  • Tutorial: JSON Basics

• Introduction to unstructured data — Key concepts and tasks for working with unstructured data:

  • Directory tables

  • REST API for unstructured data support

  • Sharing unstructured data with a secure view

  • Troubleshooting processing of unstructured data

• 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:

  • Understanding & Using Time Travel

  • Understanding and viewing Fail-safe

  • Storage Costs for Time Travel and Fail-safe

• Introduction to Data Pipelines — Key concepts and tasks for transforming and optimizing loaded data for analysis:

  • Change Tracking Using Table Streams

  • Introduction to tasks

• Introduction to business continuity & disaster recovery — 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:

  • Introduction to replication and failover across multiple accounts

  • Redirecting client connections

• Sample Data Sets — Key concepts and tasks for using the sample data sets provided with Snowflake:

  • Using the Sample Database

  • Sample Data: TPC-H

  • Sample Data: OpenWeatherMap — Deprecated

• 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.

  • Setting Up Alerts Based on Data in Snowflake

  • Sending Email Notifications