Case Study

4 Simple Steps To Set-up Your WLM in Amazon Redshift For Better Workload Scalability

4 Simple Steps To Set-up Your WLM in Amazon Redshift For Better Workload Scalability

Pages 13 Pages

4 Simple Steps To Set-up Your WLM in Amazon Redshift For Better Workload Scalability Table Of Contents INTRODUCTION UNDERSTANDING AMAZON REDSHIFT WORKLOAD MANAGEMENT: QUEUES, CONCURRENCY AND MEMORY FOUR STEPS TO SET UP YOUR WORKLOAD MANAGEMENT 1 2 3 2The time-to-first-report, i.e. the time it takes to go from creating a cluster to seeing the results of their first query, can be less than 15 minutes. That’s true even for petabyte-scale workloads. Because it’s so easy to set-up a cluster, it can also be easy to overlook a few housekeeping items when it comes to the set-up. That can cause problems with scaling workloads down the road. A general complain we often hear is “slow queries”, or “slow dashboards”. One of the major propositions of Amazon Redshift is simplicity.

Join for free to read