Snowflake: The Data Cloud Platform of the Modern World

Data is a valuable asset that plays a key role in helping businesses today make informed decisions, improve the customer experience, and measure performance.

But before you even think about leveraging data and analytics to drive your business strategy, you need to ensure you have a solid foundation and platform for data management and storage – and that is where Snowflake comes in.

A Modern Data Cloud Platform

Most people view Snowflake as just a data warehouse but in reality, the Snowflake Data Cloud is a scalable cloud data platform that can eliminate data silos, simplify data architectures, and support a wide range of workloads across an organization including:

  • Data Engineering
  • Data Lake
  • Data Warehouse
  • Data Science
  • Data Applications
  • Data Exchange

As a cloud-agnostic solution – meaning it can be hosted on any of the big three cloud infrastructures (Google Cloud, Microsoft Azure, or Amazon Web Services) – Snowflake consists of three main components or “layers”:

  1. Cloud Services: This layer handles metadata, infrastructure management, and security
  2. Compute: This layer controls all processing needs from data ingestion and transformation to query processing
  3. Storage: This is where all your data is managed and organized in the cloud

The Answer to Scalability

The fact of the matter is most of today’s cloud software was not designed to handle today’s volume of cloud computing and many solutions are just legacy designs hosted in the cloud.

With Snowflake you can store and centralize all the data generated across the different departments of your organization and it can power multiple workloads across the enterprise.

Snowflake leverages multi-cluster warehouses allowing it to allocate the appropriate number of resources for a given task. With these scalable virtual warehouses, when the number of users and queries go up at a point in time, Snowflake allocates more compute resources to handle the load.

So those monthly reports that usually take a team days to run can now take minutes – and this can be done at scale across various functions, such as Finance, Sales, Operations, etc. because Snowflake allocates the exact number of resources for any given task for many concurrent users and workflows.

Doing More but Costing You Less

Snowflake doesn’t have large upfront costs and only charges based on usage for its Storage and Compute layers. This “pay-as-you-go” cost structure is one of the key reasons businesses are drawn to the Snowflake Data Cloud.

Snowflake also takes an innovative approach to data sharing while placing the highest priority on security and governance. It eliminates data siloes by enabling secure data sharing and provides an easily automated and robust security model to its users.

Lastly, the Snowflake Data Marketplace is a new way to share live data across enterprises. Businesses can easily enhance internal data with third-party data sets from hundreds of leading data providers further to inform and drive strategic decisions.

Get in touch with the Stratos team today if you’re interested in learning more about the Snowflake Data Cloud and how it can benefit your business by mobilizing your data.