Amazon Redshift
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Workload acceleration by optimizing materialized view selection using local search
Announce Type: new Abstract: The growing size of database workloads has made view selection a key performance challenge. Materializing frequent sub-queries in workloads improves query efficiency, but it incurs significant view maintenance costs due to updates. Although existing methods such as BIGSUBS address this trade-off between the benefit of using materialized views and the overhead of view maintenance, they have two drawbacks: insufficient maintenance cost modeling and ineffective view...
AWS whips out Graviton-powered Redshift instances, claims 7x speed for data warehouse
AWS has introduced Graviton-powered Redshift RG instances, claiming they can accelerate new query workloads by up to seven times. These instances offer significant performance improvements and cost efficiencies compared to previous generations, enabling Redshift to better handle increasing demands from AI agent workloads. The updated engine also allows users to run SQL analytics across both data warehouses and data lakes from a single platform.