T-Mobile
THE TELECOM ECOSYSTEMIS BUILT ON SNOWFLAKE
Simplify data architectures and build a connected future with the AI Data Cloud for Telecom
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Build a connectedfuture with ai
Easily analyze your unstructured data, build data agents and create ML workflows using a comprehensive suite of AI services, all within the same secure and governed environment as your data.

Use cases
Turn data into intelligence with AI
Key Benefits Of Migrating To Snowflake
Easily migrate SQL Server analytics silos to Snowflake to unleash modern analytics, advanced AI and what’s next on uniformly governed data across clouds — at instant scale
Easily modernize on a proven AI Data Cloud with instant scalability
Get more than just a database for structured data while leveraging your existing SQL skill set. Snowflake provides advanced AI and modern analytics with automated administration, instant elasticity and support for open, structured, semi-structured and unstructured data on many architectural patterns, including lakehouses.
Break down internal & external silos for seamless connectivity
Break down silos through Snowflake’s interoperability with open table formats and catalogs, and powerful cross-cloud collaboration with internal and external teams. Enjoy zero-copy data sharing and built-in Internal and Snowflake Marketplaces to find and access data, apps and AI products.
Unify security & governance
Consistently enforce security and governance controls across users, workloads, regions and clouds with Snowflake’s unified and trusted platform. Remove complex, manual configurations with automatic detection and tagging of sensitive data, continuous security monitoring and easy business continuity and disaster recovery.
Announcing Snowpark Connect for Apache Spark™ in Public Preview. Your Spark Client, Now Powered by Snowflake.
In version 3.4, the Apache Spark™ community introduced Spark Connect. Its decoupled client-server architecture separates the user's code from the Spark cluster where the work is done. This new architecture now makes it possible to run your Spark code in a Snowflake warehouse eliminating the need to provision and maintain Spark clusters.
We’re excited to announce the public preview of Snowpark Connect for Spark. With Snowpark Connect, customers can take advantage of the powerful Snowflake vectorized engine for their Spark code while avoiding the complexity of maintaining or tuning separate Spark environments — including managing dependencies, version compatibility and upgrades. You can now run all modern Spark DataFrame, Spark SQL and user-defined function (UDF) code with Snowflake.

Lower TCO
Managed compute offers elastic price/performance with minimal operational overhead
Faster Development
Streamlined workflows using a popular open standard and automations speed up development and reduce developer maintenance needed
Scalable Governance
By centralizing transformations, governance is applied once, ensuring data consistency across the entire data lifecycle
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EXPEDITION
Global Virtual Event | November 3–5, 2026















