How to define chargeback model for snowflake ?

 Are you planning to implement snowflake and interested in knowing about how to plan your snowflake expenses ? Are you also would like to know what are the expenses occurs for snowflake implementation? If so,then you reached right place. In this article we will see what is snowflake chargeback model, what are the snowflake components where expenses occurs and how to plan those.so Let's start 

What is snowflake chargeback model?

snowflake operates with a flexible pay-as-you-go model. For traditional data solution we have initial fixed cost and later adds with service and maintains cost . Here snowflake gives flexibility to increase or decrease the cost based on usage. what we have to do is , just create an account and start using it . However , if we do not plan properly the snowflake bill will go high.

Factors to consider about pay 

a) How to Pay : We  have to decide in advance about paying snowflake credits. We need to decide whether each project will pay for usage or enterprise level payment.

b) Snowflake discount : Snowflake provides discount on the volume of purchased credit so consider making consolidated purchase.

Snowflake component with expenses?

Here is list of Snowflake components which produces expenses -

1. Warehouse

2. Snowflake

3. Materialized views

4. Cloud services

5. Data transfers

6. Storage

How to reduce snowflake expenses?

a) Very first thing to consider for reducing snowflake expenses is minimize the usage across enterprise i.e use only much you need

b) Plan for all potential expenses from each of the snowflake components

c) Track snowflake expenses to determine how much consumption has occurred & how to charge it.

d) Create naming convention for database objects which will help to identify owner and associate budget .

e) Maintain the snowflake expenses tracking

Learn more about snowflake here -

Join Conditions in Snowflake

 Are you looking for an article about the type of Join conditions in Snowflake? Are you also would like to understand these different types of join conditions in detail? If so, then you reached the right place. In this article, we will understand various join conditions used in Snowflake.

Introduction:

As like DBMS, Snowflake supports various types of join conditions. Join condition allow us to combine data from two or more tables. In Snowflake, there is no association between the tables using the primary key and foreign keys but we can still use the join condition.

Type of Join in Snowflake:

• Inner Join
• Outer Join
• Left Outer Join
• Right Outer Join
• Full Outer Join

Let's understand each Type of Join with help of the Venn diagram

Understanding Syntax for Join Condition

Using the join condition in the SELECT statement is command practice. After writing the SELECT statement in the FROM clause we need to provide a table name then followed by the JOIN keyword. We also need to provide details on which column we need to perform join by using an ON clause. Here is the syntax for the join condition in Snowflake.

A. Inner Join

The Inner join in Snowflake is used to return rows from both tables which satisfy the condition. 

Example:

SELECT CUST.CUST_NBR

, CUST.FIRST_NAME

, CUST.LAST_NAME

, ADDR.AD_LINE_1

, ADDR.COUNTRY

FROM CUSTOMER CUST

INNER JOIN ADDRESS ADDR

ON CUST.CUST_NBR = ADDR.CUST_NBR.

The above query returns the elements which common between the CUSTOMER and ADDRESS tables.

B. Outer Join

If two tables do not contain all the records then we use an OUTER JOIN. Each table contains records even if the other table does not contain any corresponding record. The outer Join is subcategorized as 

1. Left Outer Join
2. Right Outer Join
3. Full Outer Join

Let's understand these Outer join one by one.

1. Left Outer Join

The LEFT JOIN in Snowflake returns all the rows from the table on the left side of the equation even if there are no matching rows in the table on the right side of the equation.

Syntax

SELECT CUST.CUST_NBR

, CUST.FIRST_NAME

, CUST.LAST_NAME

, ADDR.AD_LINE_1

, ADDR.COUNTRY

FROM CUSTOMER CUST

LEFT OUTER JOIN ADDRESS ADDR

ON CUST.CUST_NBR = ADDR.CUST_NBR.

2. Right Outer Join

The RIGHT JOIN in Snowflake returns all the rows from the table on the right side of the equation even if there are no matching rows in the table on the left side of the equation

.

Syntax

SELECT CUST.CUST_NBR

, CUST.FIRST_NAME

, CUST.LAST_NAME

, ADDR.AD_LINE_1

, ADDR.COUNTRY

FROM CUSTOMER CUST

RIGHT OUTER JOIN ADDRESS ADDR

ON CUST.CUST_NBR = ADDR.CUST_NBR.

3. Full Outer Join

The FULL OUTER JOIN in Snowflake returns all the rows from both tables irrespective of condition match.

Syntax

SELECT CUST.CUST_NBR

, CUST.FIRST_NAME

, CUST.LAST_NAME

, ADDR.AD_LINE_1

, ADDR.COUNTRY

FROM CUSTOMER CUST

FULL OUTER JOIN ADDRESS ADDR

ON CUST.CUST_NBR = ADDR.CUST_NBR.

Learn more about Snowflake here