Contents
Can snowflake schema have multiple facts?
The snowflake schema is represented by centralized fact tables which are connected to multiple dimensions.. However, in the snowflake schema, dimensions are normalized into multiple related tables, whereas the star schema’s dimensions are denormalized with each dimension represented by a single table.
When should we use snowflake schema?
Comparing Star and Snowflake Schema
| Star Schema | Snowflake Schema |
|---|---|
| Should be used when the Dimension Table has less number of rows. | Should be used when the Dimension Table has a relatively big size because it reduces space. |
Is snowflake good for OLTP?
Snowflake is no different, it is also designed and developed for certain use cases. For example, it not an OLTP engine and should not be used for transactional workloads. Let us see why it would not be a good choice for an OLTP application. Snowflake stores data in contiguous units of storage called micro-partitions.
Is there a way to remove duplicates from Snowflake table?
Snowflake table allows you to insert duplicate rows. There are chances that some application may insert the records multiple times. There are several methods you can use to de-duplicate the snowflake tables. In this article, we will check how to identify and remove duplicate records from Snowflake table.
How can I replicate my Snowflake database to another account?
Log into a Snowflake account that contains a local database that you want to replicate to one or more other accounts. Click the dropdown menu in the upper left (next to your login name) » Switch Role » ACCOUNTADMIN. On the left side of the Databases page, click on a local database in the database object explorer. The database details page opens.
How to get unique records from Snowflake table?
You can previous methods to create and alter intermediate table. You can use the GROUP BY clause as an alternative to DISTINCT keyword. For example, consider below Snowflake query to get unique records from a table using GROUP BY. This method is usually faster on small tables.