Snowflake - Build and Architect Data Pipelines Using AWS - Benefits of Micro-Partitions and Clustering

The video tutorial explains the benefits of micro partitions and clustering in Snowflake. It covers query pruning, efficient DML operations, and the advantages of Snowflake's columnar data storage. The tutorial also discusses the automatic creation of micro partitions and how to manage clustering, including turning off automatic clustering when necessary. The video concludes with a summary of the benefits and a preview of upcoming topics.

What is one of the main benefits of using micro partitions in Snowflake?

• They eliminate the need for indexing.

• They enable query pruning by avoiding unnecessary data scans.

• They allow for faster data loading.

• They increase the size of the database.

How does Snowflake's columnar storage benefit analytical queries?

• By storing data in a row-based format.

• By compressing entire tables into a single partition.

• By enabling efficient scanning of individual columns.

• By automatically generating SQL queries.

What happens to a table in Snowflake if it does not have a clustering key?

• It requires manual partitioning.

• It is stored as a single large partition.

• It is split into micro partitions but without a clustering key.

• It cannot be split into micro partitions.

How can you identify the number of micro partitions in a Snowflake table?

• By using the 'DESCRIBE TABLE' command.

• By running a 'SELECT COUNT(*)' query.

• By checking the query profile overview section.

• By using the 'SHOW PARTITIONS' command.

What is the default behavior of clustering in Snowflake?

• Clustering is only available for small tables.

• Clustering requires a separate license.

• Clustering is handled automatically unless turned off.

• Clustering is always manual.

What command is used to temporarily turn off automatic clustering in Snowflake?

• ALTER TABLE DISABLE CLUSTERING

• ALTER TABLE STOP CLUSTERING

• ALTER TABLE SUSPEND RECLUSTER

• ALTER TABLE REMOVE CLUSTERING

What is required for automatic clustering to be handled by Snowflake?

• The table must be stored in a row-based format.

• The table must be smaller than 10 GB.

• A clustering key must be defined for the table.

• The table must be partitioned manually.