Introduction

Data Warehousing is an evolving field. The old models of data warehousing such as batch processing and ETL (extract, transform, load) are inefficient for modern data-intensive applications. Data warehouses can’t handle the number of concurrent updates that occur when they’re in use. Snowflake is a cloud-computing data warehouse and you will learn how it can benefit your business in this article.

What is Snowflake?

Snowflake was founded in 2013 and has a global customer base of over 3,000 organizations. The data warehouse is designed for scalability and performance, providing companies with the ability to analyze their data for insights that drive business decisions.

Snowflake Data Warehouse is an enterprise-grade data warehouse that is used to store massive amounts of sensitive data (like CRM) for later use by customers. Data warehouses are used in most businesses to store all their data for future use. Businesses do this to ensure that the data is not lost and can be retrieved when needed. Data warehouses are usually structured in different models with each model having its own benefits.

Why You Should Use Snowflake for Your Data Storage Needs Today

A Snowflake is a data warehouse based on the relational model of data storage. It is designed to deal with big data.

It is the most scalable, cost-effective, and secure cloud solution for data warehousing. You should use it for storage because it can handle huge datasets that are generated by IoT devices which are bigger than what traditional databases can handle.

The Architecture of Snowflake’s Data Warehouse

Back in the days when we buy cable TV, we always get a package deal of both content and infrastructure. Today, we can have them separately. Now, you have control over what you use and pay for.

Similarly, Snowflake separates computation and storage. Companies with high storage but low CPU benefit from this architecture. Snowflake’s architecture is made up of three layers namely:

• Database storage layer
• Compute layer
• Cloud services layer

Benefits of Snowflake to Your Business

• Effective Data Sharing

Snowflake’s architecture allows smooth data sharing among Snowflake’s users. Companies can also share data with consumers regardless of the consumers being Snowflake’s customers or not. A client account can be created for them directly from the user interface and managed by the provider.

• Accessibility and Performance

Gone are the days where you could experience delays or failures due to concurrency when you use a traditional warehouse. With Snowflake’s unique multi-cluster architecture, you can run your queries concurrently without any hassle. The cloud is elastic such that if you need to run a large volume of queries quickly, you can scale up.

• Security

Snowflake is a well-known cloud-based data warehousing platform used by governments, health, banking sectors, and security businesses. It has built-in protections that obey SOC 1 and Type 11 regulations.

• Simplicity

Snowflake is fully cloud-based and requires no IT installation or management. It has built-in speed optimization, data security, and safe data exchange that ensures that datasets of any complexity have instant access and restoration.

• Low cost

Snowflakes provide a range of pricing based on your usage and allow you to switch computing resources on and off. Snowflake’s low-cost, cloud-data platform allows you to store unlimited amounts of data and only pay for what you use.

Additional Benefit

• For optimum marketing

The marketing automation space is one of the most competitive because it’s so important for companies to stay ahead of their competitors in terms of making sure they are getting the most out of their marketing spending. This is where Snowflake Data Warehouse comes in. It’s the power behind marketing automation platforms in companies. By using it, they can provide marketers with a variety of data-driven tools that will help them create optimal customer journeys for each person.

Conclusion

Snowflake data warehouses are one of the most popular architectures for data warehousing. They provide real-time analytics, fast queries, and massive scalability which makes them more effective than other models of data warehousing.