![]() ![]() It provides a CREATE TABLE LIKE statement to create a new table by copying or duplicating the existing table. It creates a new table in the current/specified schema or replaces an existing table. Here we will create a table using the like statement shown below. Step 4: Create a table in Snowflake using Create Statement To select the database which you created earlier, we will use the "use" statement The output of the above statement: as you can see, the above statement is successfully run in the below image Note: that you do not need to create a schema in the database because each database created in Snowflake contains a default public schema.Ĭreate or replace database We can create in two ways: we can create the database using the CREATE DATABASE statement. Follow the steps provided in the link above. Go to and then log in by providing your credentials. We need to log in to the snowflake account. Steps to create snowflake account Click Here.In this scenario, we will learn how to create a database in Snowflake and how to create a new table by copying the existing table's structure without copying the data. This is significant because almost every other database, Redshift included, combines the two, meaning you must size for your largest workload and incur the cost that comes with it. Snowflake's claim to fame is that it separates computers from storage. It automatically scales, both up and down, to get the right balance of performance vs. In the big data Scenarios, Snowflake is one of the few enterprise-ready cloud data warehouses that brings simplicity without sacrificing features. ![]() Recipe Objective: How to create a table using the LIKE statement in Snowflake? ![]()
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