Streaming analytics used to be complex and expensive, but Snowflake makes it easy to use and cost effective. Now, data engineers can unify streaming and batch data pipelines in a single system, set up streaming transformations in minutes, and convert batch pipelines to streaming with just one parameter change — no infrastructure headaches.
We’ve helped hundreds of customers build streaming pipelines across various industries, and in this webinar, we’ll share the latest examples, from diverse streaming sources to new gen AI examples.
Join this webinar to explore:
- Key streaming analytics use cases and success stories
- Snowflake recommended architecture and best practices
- How Snowpipe Streaming and Dynamic Tables can streamline workflows
- New capabilities including Snowpipe for Apache Kafka and Triggered Tasks
- How to integrate gen AI into continuous data pipelines
Speakers
Saras Nowak
Senior Product Manager
Snowflake
Ankit Gupta
Senior Product Manager
Snowflake
Shiyi Gu
Product Marketing Lead
Snowflake