Did you miss a session from MetaBeat 2022? Head over to the on-demand library for all of our featured sessions here.
With the rise of Snowflake and other cloud data warehouses, enterprises finally have a simple way to mobilize their data assets at scale. They can easily connect data from different sources and start driving efficiencies while keeping upfront investments (or CapEx) on the lower side.
The benefits of the solutions are unparalleled, but cloud data services also come with the challenge of high operating expenses. Essentially, due to constantly growing datasets, companies have to deal with high compute costs and query performance latencies. Without a solution, their teams have to give about 30–40% of their time to manually develop features that could optimize the warehouse for the required performance and budget constraints.
