Reliable user-space stack traces with SFrame This enables consuming clusters to get consistent performance based on individual compute capacity. Clusters accessing this shared data are isolated from each other, therefore performance of a producer cluster isn’t impacted by workloads on consumer clusters. You can ingest data into a cluster designated as a producer cluster, and share this live data with one or more consumer clusters. With the new data sharing feature, you can use Amazon Redshift to scale and meet both objectives of managing costs by simplifying storage and ETL pipelines while still providing consistent performance to customers. However, service providers have to constantly balance between cost and providing a better user experience for their customers. This storage strategy offers an opportunity to centralize management of data, simplify ETL processes, and optimize costs.
REDSHIFT DATA SHARING SOFTWARE
For example, a software service provider could generate data that is housed in a single data warehouse cluster, but accessed securely by multiple customers. Multi-tenancy means a single instance of software and its supporting infrastructure is shared to serve multiple customers.
A multi-tenant storage strategy allows the service providers to build a cost-effective architecture to meet increasing demand. Software service providers offer subscription-based analytics capabilities in the cloud with Analytics as a Service (AaaS), and increasingly customers are turning to AaaS for business insights. Post Syndicated from Rajesh Francis original
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