In this session, we discuss the latest features of Amazon Redshift and Redshift Spectrum, and take a deep dive into its architecture and inner workings. We share many of the recent availability, performance, and management enhancements and how they improve your end user experience. You also hear from 21st Century Fox, who presents a case study of their fast migration from an on-premises data warehouse to Amazon Redshift. Learn how they are expanding their data warehouse to a data lake that encompasses multiple data sources and data formats. This architecture helps them tie together siloed business units and get actionable 360-degree insights across their consumer base.
15. Result Caching: From the lab
• Higher is better! (Queries per hour)
• Read-write workload with a mix of
small and large queries, Inserts,
Copy and Vacuum
• 4-node ds2.8xL cluster
Dashboard Heavy Reporting
138
8
2979
117
QUERY THROUGHPUT (QPH) WITH
RESULT CACHING
No Caching Caching
16. Result Caching: A customer perspective
• Lower is better! (Query Latency)
• 4-node dc2.8xL cluster
• Tableau dashboard; 10-user test
Caching
No Caching “That’s not a mistake...the results for average
execution time on the caching test run were
sub-second and so don't show up on the y-axis
at this scale”
Various dashboard queries
(names removed for confidentiality)