Ch#3: MODERN DATA ARCHITECTURE WITH SNOWFLAKE

APPLICATIONS OF SNOWFLAKE

1)???Snowflake is built for Cloud:

·????????It means it is built from scratch for all cloud-native features, and it is optimized for cloud such as (AWS/ Azure/ Google Cloud) and its Storage and Compute are decoupled, i.e. we can scale the storage separately and we can scale the compute separately.

·????????Here all kinds of use cases are supported, whether we talk about Data Warehouse, Data Lake, Data Engineering, Streaming, Data Application, Data Science, and data exchange used cases.

·????????Share data to internal as well as external customers securely (regulator/ partner) without data leaving your premises.

?2)???Software As A Service (SAAS):

·????????No Software, infrastructure, or upgrades to manage.

·????????Any update, maintenance, and releases are done by Snowflake and it is available to all your customers automatically.?

·????????It is available in all 3 major cloud providers.

?3)???Pay only for used Compute & Storage:

·????????Storage and computing changed independently and only for usage.

·????????If you store TBs of data and no processing, you will be changed only for storage and not for computing.

4)???Scalability:

·????????Virtual warehouse enables computing scaling independently from storage.

·????????The Scalability is virtually unlimited, and, storage and computing both can scale as needed and independently from each other.?