This session will include a moderated Q&A featuring questions from the live audience.
The coming decade is going to call for a modern data warehouse to meet demanding new requirements for machine learning, data variety, scale, and real-time, operational analytics—while still satisfying traditional needs for the complex analysis of structured data at scale. These modern data warehouses will often be implemented in part or in their entirety in the cloud—and owners will want to consider modern cloud data warehouse platforms as their foundation.
Data warehouse scale and performance issues are trickier than ever in the cloud. Yes, in the cloud there are always more resources available, but choosing the wrong database for your cloud data warehouse can cost millions more than a database that is well suited to your requirements. It is not only system cost that is at stake; with the wrong cloud data warehouse, your critical business objectives may be at risk.
This talk will provide a concise, strategic view of the cloud data warehouse landscape, highlighting why scaling up or out is sometimes easy and sometimes very hard. This will help you choose the best platform for your cloud data warehouse or workload—and help you avoid platform mistakes that can get you into trouble.