Turbocharge Your Data Integration for the AI Era

Are you building and managing multiple data integration tools leading to operational complexity? 

Data engineering teams are challenged with building rigid pipelines that cannot scale to meet new and complex use cases. They are so resource-constrained that it can be difficult to maintain daily operations, let alone manage new AI workflows. Data engineers too often have to make tradeoffs between simplicity and control.

Join this 60-minute session on July 23 to learn how Snowflake Openflow consolidates data movement into a unified, open, and extensible service.

See how to make data integration effortless and free up data movement across your entire business.

You’ll learn how to:

• Bring structured, unstructured, batch, and streaming data movement within a unified, integrated platform in Snowflake
• Leverage hundreds of ready-to-use connectors and processors to simplify and accelerate data integration development
• Leverage flexible deployment options: run pipelines on Snowflake’s managed infrastructure or Bring Your Own Cloud (BYOC) for maximum control
• Gain fine-grained control with built-in data provenance, comprehensive observability, and enterprise-grade governance features