Streaming Analytics was traditionally complex and costly to deliver. With Snowflake, data engineers can bring streaming and batch data pipelines together in one system, build streaming transformations in minutes and adapt a batch pipeline to a streaming one by simply changing one single parameter. No need to spend time managing infrastructure or capacity planning.
With these new streaming capabilities, we have seen hundreds of customers adopt across different industries. During this webinar, we will share some of the top use cases and reference architecture with you.
Watch this webinar to discover:
- Top streaming analytics use cases across industries
- Snowflake recommended reference architecture and examples
- How Snowpipe Streaming and Dynamic Tables can be used
Orateurs
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Shiyi Gu
Senior Product Marketing Manager
Snowflake -
Xin Huang
Senior Product Manager
Snowflake -
Saras Nowak
Senior Product Manager
Snowflake