Speaker: Thierry Cruanes

At Snowflake, we wanted to architect a data warehouse from the ground up to leverage all the benefits of the cloud. Unlike shared-storage architectures that tie storage and compute together, we built a single integrated system with fully independent scaling for compute, storage and services. In the storage layer, we split data into micro-partitions and extract metadata for efficient query processing. At the compute layer, multiple virtual warehouses in separate compute clusters can simultaneously operate on the same data, giving high availability, performance isolation, scalability and concurrency. Virtual warehouses can also be automatically scaled up and down based on workload and performance.

This talk will cover the three pillars of the Snowflake architecture: 

• Separating compute and storage to leverage abundant cloud compute resources
• Building an ACID compliant database system on immutable storage
• Delivering a scalable multi-tenant data warehouse system as a service

How do big operators differ from smaller disruptors? This panel will examine the different architectures that power these systems.