Snowflake’s unique multi-cluster shared data architecture laid the foundation to run various kinds of data processing tasks, which in turn led to an expanded platform—a critical building block for the Data Cloud. Today, Snowflake is the data backbone for thousands of businesses, enabling data access and governance needed to deliver value. Interactive use cases in some data applications and embedded analytics, however, pose a particular challenge. Traditionally, you needed an additional caching layer to provide the required speed and throughput these solutions require—which also increased costs and architectural complexity.
Learn about the improvements we’ve made to Snowflake’s core engine and learn more about how to get the most out of Snowflake’s Data Cloud. This live webinar will include:
- Performance best practices
- Improving concurrency and latency: How we did it
- Technical use cases and demos for improving querying performance
- Quantifying the latency improvements
Principal Product Manager, Snowflake
Product Marketing Manager, Snowflake