Introduction

Snowflake is a data warehouse built for the cloud which delivers a capable solution in resolving issues for which legacy, cloud data platforms and on-premises data warehouse were not designed. Snowflake works with leading data management, data integration and BI partners to bring together all data and enable the users to perform cutting-edge analytics.

Snowflake is the first analytical database that leverages the power of cloud. Adapting snowflake is simple and it offers great performance and concurrency. It supports distributed architecture, data protection, query resiliency and significantly maintain fault tolerance. In addition, snowflake services can be run on a public cloud infrastructure.

Snowflake architecture is divided into three layers, they are:

  1. Cloud services
  2. Virtual warehouses
  3. Database storage

Functionality of Cloud Data Warehouse

Data warehouse is basically a relation database which is exclusively designed for query and analysis as a substitute of transaction process. But it holds resulting historical data from a transaction data.

How to manage Snowflake?

Snowflake runs on AWS EC2 (Elastic Compute Cloud) provided by Amazon Web Services (AWS) and use AWS S3 to store data.

Snowflake is a fully relational SQL data warehouse. It’s all new and built for the cloud on Amazon Web Services (AWS). Snowflake provides complete relational database support for both structured and semi-structured data (JSON, Avro, XML), and implements comprehensive support for the SQL language. It requires no administration and is delivered as a turn-key cloud service. Snowflake provides broad support for ETL and BI tools, and enables developers to build modern data applications. It is secure by design.

By using virtual warehouse, Snowflake executes query on processing level. It performs multiple actions including row updating unloading data from tables.  Snowflake is built for speed even while working on intense workload. Its patented architecture detaches to compute from storage so user can able to compute the scale of up and down including on the fly, with no delay or disruption. It delivers the result and accomplishes the task when the user needs it without spending more time.

Snowflake supports multi-clustered warehouse which consists of minimum 1 server and maximum 5 servers.

Snowflake Secured access

Snowflake supports to access a continuous data protection to secure data store including Multi-factor authentication (MFA), federated authentication and SSO. Hybrid model employed to have a controlled access to any object in account, Discretionary access control, and network policies for controlling site access which incorporate IP whitelisting. 

Competitive Advantage

On an estimation note user can run an entire set of monthly reports in 45minutes instead of spending couple of days. A single, month end to end report which takes about 20-22 hours, but by employing snowflake now quickly can get the report in 4 minutes approximately. Snowflake is developed for speed even while handling extreme workloads. As a service, Snowflake is a zero-management data warehouse. Without any software or hardware user can deploy and configure and then Snowflake automatically weighs to maintain any amount of data and concurrency with persistent performance.

Industry share

Snowflake is popular among many industries which most include Healthcare, Gaming, Media, Advertising, Software, Financial services, Retail, Education and Supply chain and logistics.

Conclusion

Snowflake is the one stop support for the current and future customers and has great opportunity to explore the data in the way they like to. The process will give the insight to gain, resolve issues and create the opportunity which cannot be so flexibly accomplished with their previous practiced data platforms. Snowflake is considerably the first data warehouse built on cloud environment.