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.
------------------------
Are you a business looking to build and manage data engineering solutions optimized for your unique needs? Chariot Solutions is here to help.
We’ll apply our strategic, high-touch approach and extensive tech experience to solve your most complex business problems. Learn more about our data engineering offerings at Chariot, or contact us to see how we can help with your project. Visit chariotsolutions.com.