A Step-by-Step Guide to Creating Tables in Snowflake

 ✅ Step-by-Step Guide: Creating Tables in Snowflake

1. Log In to Snowflake

Go to: https://app.snowflake.com


Choose your account, enter credentials, and access the Snowsight UI.


2. Choose the Right Context

Before creating a table, set the database, schema, and warehouse:


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USE WAREHOUSE my_warehouse;

USE DATABASE my_database;

USE SCHEMA my_schema;

3. Create a Table Using SQL

✅ Basic Syntax:

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CREATE TABLE my_table (

    id INT,

    name STRING,

    created_at TIMESTAMP

);

✅ With Constraints:

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CREATE TABLE customers (

    customer_id INT PRIMARY KEY,

    first_name STRING,

    last_name STRING,

    email STRING UNIQUE,

    signup_date DATE

);

✅ With Auto-Incrementing ID:

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CREATE TABLE orders (

    order_id INT AUTOINCREMENT,

    customer_id INT,

    order_date DATE,

    amount DECIMAL(10, 2)

);

4. Create Table from Existing Table (Cloning)

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CREATE TABLE new_table CLONE existing_table;

5. Create Table from a SELECT Statement

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CREATE TABLE top_customers AS

SELECT * FROM customers

WHERE signup_date >= '2024-01-01';

6. Use the Snowflake UI (Snowsight)

✅ Steps:

Navigate to "Data" → Choose your Database and Schema


Click "+" (Create) → Select Table


Fill in:


Table Name


Columns and Data Types


Optional: Primary Key, Defaults, Nullability


Click "Create"


7. Check Table Structure

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DESC TABLE my_table;

or


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SHOW TABLES;

8. Insert Sample Data (Optional)

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INSERT INTO my_table (id, name, created_at)

VALUES (1, 'Alice', CURRENT_TIMESTAMP);

9. Query Your Table

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SELECT * FROM my_table;

🧠 Tips

Use VARCHAR instead of STRING for compatibility across tools (though both work in Snowflake).


Always define primary keys and types where relevant to improve clarity and data integrity.


Consider using CREATE OR REPLACE TABLE for dev environments (be cautious — this will drop and recreate the table).

Learn  Data Engineering Snowflake course

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Snowflake’s Virtual Warehouses Explained

Setting Up Your First Database in Snowflake

Understanding Snowflake Editions: Standard, Enterprise, Business Critical

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