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How 605 Reduced EMR Costs by 60% in Less than a Week
Download Case StudyCost Reduction
CPU Utilization Reduction
Average Job Completion Time Reduction
Granulate performance optimization allowed 605 to run the same EMR jobs 30% faster and with 30% lower CPU utilization. Using Granulate 605 was able to significantly reduce their big-data costs by executing each job faster and with fewer instances. Within less than a week, 605 achieved a 60% cost reduction, 30% reduced CPU utilization, and an average job completion time reduction of 60%.
About 605
605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization, and analytical solutions on top of our deterministic TV viewership dataset covering more than 22 million households across over 200 U.S. markets. 605’s multi-source viewership dataset offers whole-home TV viewing visibility by combining the best attributes of set-top box and ACR data. 605 is unique in that its multi-source viewership dataset supports 100 percent deterministic audience measurement at the household level while being reportable second by second with currency grade projection methodologies, all in a privacy-compliant manner.
Granulate helped us cut our EMR jobs completion times delivering lower costs and better agility without any code changes or R&D efforts
The Challenge
In the past year 605 has seen increased demand for its platform’s offering. Following this spike in traffic, 605 now faces the challenges of scaling up infrastructure; the volume of largely unstructured TV audience viewership data flowing from households across the United States grew fast, significantly increasing their cloud costs. 605 live and time-shifted viewership data from 21M households power the future of TV measurement & attribution, creating massive demand for scale and flexibility from their big-data EMR based workloads. These services run hundreds of different jobs with significant compute requirements thus making the challenge of optimization a complex one to solve.
The Results
Cost Reduction – 60% , Reduced CPU Utilization – 30%, Reduced Average Job Completion Time – 60%
Granulate performance optimization allowed 605 to run the same EMR jobs 30% faster and with 30% lower CPU utilization. Using Granulate 605 was able to significantly reduce their big-data costs by executing each job faster and with fewer instances. In addition to the cost-reduction benefit, these performance improvements allowed 605 to enjoy better agility by accessing and analyzing data faster, supporting company growth.
How It Works
