#snowflake

#snowflake

Customers have been using Spark for a long time to process data and get it ready for use in analytics or in AI. The burden of running in separate systems with different compute engines creates complexity in governance and infrastructure.

Niederman's experience includes building AWS's Global Systems Integrators business to a $10 billion run rate, showcasing his ability to drive enterprise transformation.

The addition of the managed PostgreSQL database to the Data Intelligence platform will allow developers to quickly build and deploy AI agents without having to concurrently scale compute and storage.

Lakeflow and OpenFlow reflect two philosophies: Databricks integrates data engineering into a Spark-native, open orchestration fabric, while Snowflake's OpenFlow offers declarative workflow control.

Adaptive Compute simplifies infrastructure management by automatically adjusting the cluster size and number based on workloads, eliminating the need for user intervention.

It was an unfortunate situation that our customers went through, and we've really pivoted from a shared-security model to more of a shared-destiny model with our customers.

Khushmeet Singh's leadership in the Insurance Data Warehouse project has seamlessly transformed data management in the insurance sector, showcasing advanced technological integration and remarkable efficiency.

The indictment reveals that hackers Connor Moucka and John Bins were involved in an international hacking and extortion operation targeting over 10 companies, including Snowflake customers.