Overview of the Data Lifecycle

Snowflake provides support for all standard SELECT, DDL, and DML operations across the lifecycle of data in the system, from organizing and storing data to querying and working with data, as well as removing data from the system.

In this Topic:

Lifecycle Diagram

All user data in Snowflake is logically represented as tables that can be queried and modified through standard SQL interfaces. Each table belongs to a schema which in turn belongs to a database.

Snowflake Data Lifecycle

Organizing Data

You can organize your data into databases, schemas, and tables. Snowflake does not limit the number of databases you can create or the number of schemas you can create within a database. Snowflake also does not limit the number of tables you can create in a schema.

For more information, see:

Storing Data

You can insert data directly into tables. In addition, Snowflake provides DML for loading data into Snowflake tables from external, formatted files.

For more information, see:

DML Commands (General)
DML Commands (Data Loading)

Querying Data

Once data is stored in a table, you can issue SELECT statements to query the data.

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Working with Data

Once data is stored in a table, all standard DML operations can be performed on the data. In addition, Snowflake supports DDL actions such as cloning entire databases, schemas, and tables.

For more information, see:

Removing Data

In addition to using the DML command, DELETE, to remove data from a table, you can truncate or drop an entire table. You can also drop entire schemas and databases.

For more information, see: