Snowflake

Through Snowflake, you can directly access and query S&P Global and select third-party data eliminating the data ingestion process and significantly improving your productivity and efficiency. Snowflake's unique cloud-based architecture enables near-infinite scalability for faster queries at lower costs.

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you're a data analyst, data scientist, data engineer, or any other business or technology professional, you'll get more from your data with Snowflake.

Accessing data from S&P Global and other providers via Snowflake enables you to get live, ready-to-query datasets that are always up-to-date and don't require transformation before using. Snowflake gives you the perfect way to leverage external data and combine it with your own for faster and better business decisions.

[Awards]

  • 2021 IMD/IRD Awards, Best Enterprise Data Management Initiative - S&P Global Data via Snowflake

Service Provider Information

Thousands of customers deploy Snowflake Cloud Data Platform to derive all the insights from all their data by all their business users. Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for any cloud; instant, secure, and governed access to their entire network of data and a core architecture to enable many other types of data workloads, such as developing modern data applications.

Key Information

Use Cases

With access to the cloud from virtually anywhere, you can now eliminate the need to manage an expensive data warehouse – streamlining both your data and delivery needs.

Snowflake supports ANSI SQL, meaning most common operations are supported in Snowflake, which allows you to query data from the Data Marketplace without any transformation.


Benefits

With S&P Global data via Snowflake you can:

  • Reduce time to insights: Get data faster to speed up analytics and make faster decisions.
  • Eliminate data transformation: No need to extract and transform data before using, which reduces the time, effort, and cost associated with data analytics.
  • Improve operational efficiency: Access to ready-to-query data gives you the ability to streamline data analytics operations and get value from your data faster.
  • Streamline your workflow: Directly integrate data into your existing views and workflows with access to over 100 third-party vendors such as Tableau and Alteryx.

Details