Snowflake Migration

Snowflake is a data warehouse based on software-as-a-service (SaaS), which CEO Bob Muglia formulates with a motive to enabling the data economy, and to disrupt the data warehouse industry.” In simple words, Snowflake is a cloud-based data warehouse that runs on Amazon Web Services or Microsoft Azure. It’s great for enterprises that don’t want to devote resources to the setup, maintenance, and support of in-house servers because there’s no hardware or software to choose, install, configure, or manage. Utilizing an ETL tool like Stitch, data can be migrated into Snowflake.

The thing that stands snowflakes different is its architecture, and data-sharing features set it distinct. Thanks to the Snowflake architecture, customers can utilize and pay for storage and computing separately, allowing storage and computing to scale independently. Furthermore, the sharing feature enables enterprises to communicate controlled and secure data in real-time instantly.

Snowflake architecture consists of three layers.

Database storage

All data imported into Snowflake, including structured and semistructured data, is stored in the database storage layer. Snowflake automatically maintains all aspects of data storage, including organization, file size, structure, compression, metadata, and analytics. This storage layer is unaffected by the availability of computing resources.

Compute layer

The compute layer consists of virtual warehouses that perform data processing activities for queries. Each virtual warehouse (or cluster) can access all of the data in the storage layer and then work independently, eliminating the warehouse’s need to share or compete for computing resources. This provides non-disruptive, automated scaling, implying that computing resources can increase without redistributing or rebalancing data in the storage layer while queries are ongoing.

Cloud services

The cloud services layer organizes the entire system and uses ANSI SQL. It reduces the requirement for data warehouse management and tuning to be done manually. Authentication Infrastructure, management, Metadata management, Query parsing, and optimization Access control are some of the services provided by this layer.

List the benefits of snowflake evolution for your business

Speed and performance

Due to the cloud’s elasticity, you can scale up your virtual warehouse to take advantage of more compute resources if you need to load data faster or perform a large number of queries. After that, you can shrink the virtual warehouse and only pay for the time you used it.

Support and storage

For analysis, you can aggregate structured and semistructured data and load it into a cloud database without first converting or transforming it into a set relational schema. Snowflake enhances the way data is stored and queried automatically.

Data sharing

Snowflake’s architecture allows users to share data. It also enables businesses to share data with anyone, whether or not they are a Snowflake customer, via reader accounts that can be created straight from the user interface. The provider can use this feature to create and maintain a Snowflake account for a customer.

Security

Snowflake is designed to run constantly and suffer component and network failures with minimal impact to clients. It is dispersed across availability zones of the platform on which it runs — either AWS or Azure. It is SOC 2 Type II certified, and it offers additional security features such as PHI data support for HIPAA clients and encryption across all network connections.