Overview
Fifty years of relational databases and online transaction processing have ingrained in us patterns of thought that do not translate neatly to the world of big data.
Rather than focus on the traversal of individual entities, we must instead think in terms of large-scale set operations that exploit the parallelism of the underlying service.
In this talk, Keith Gregory will look at performance optimization in both Redshift and Athena. He will discuss the architectures of each, and the techniques used to extract maximum query performance from those architectures.
Information
Tuesday, August 1st at 12PM ET
Location: Virtual
Cost: Free, but registration is required
