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Tripling Performance by Using Thread per Core with DataStax Enterprise

DataStax Accelerate 2019

In this talk we’ll explore migrating a 10TB Oracle Rack to a DataStax Enterprise cluster. During this process, many data models were considered including tables per year and whether to store table data as a wide column or BLOB (serialized by avro pojo). After upgrading to DSE 6.0 we updated our data models to leverage the new Thread Per Core architecture resulting in a triple performance increase from previous models by querying different shards.



Robert Czupiol

Master of Science / Expert Architect at ING Bank Slaski