Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake - Track Your Consumption

This video tutorial explains how to track and manage Snowflake consumption costs, especially in large teams. It covers setting up the account admin role, understanding warehouse and query history views, and executing queries to calculate costs and analyze query execution times. The tutorial provides practical examples and encourages regular monitoring of consumption to avoid unexpected expenses.

Why is it important to track Snowflake consumption regularly?

• To improve query performance

• To increase storage capacity

• To manage and reduce costs

• To ensure data security

What role must you switch to in order to access Snowflake account usage objects?

• User

• Account Admin

• Database Admin

• Schema Manager

Which two views are crucial for tracking Snowflake consumption?

• Stage Objects and File Formats

• Database Usage and Schema Details

• Copy History and Data Transfer

• Warehouse Meeting History and Query History

What information does the 'warehouse meeting history' view provide?

• Warehouse start and end times, credits consumed

• User login history

• Database schema details

• Query execution times

How is the billed amount calculated in the first query demonstrated?

• By dividing the total credits by the number of queries

• By calculating the average runtime

• By multiplying credits used with a fixed rate

• By adding the start and end times

What does it mean if a query has no warehouse name in the second query?

• The query was not executed

• The query was executed in a different region

• The query was executed by an admin

• The data was fetched from the cache

Why should you run the demonstrated queries after completing each course section?

• To verify data integrity

• To improve query execution speed

• To track credit consumption and manage costs

• To update the database schema