A Fortune 100 P&C insurer in the US needed low-cost infrastructure and analytic solutions to deploy a next-gen operational data source. Their needs were further complicated by slow development life cycles, limited data processing capability, and heavy dependence on IT.
To establish state-of-the-art, next-generation operational data store and analytics solutions, the client first needed to count the costs of a big data platform on cloud After thoroughly evaluating the client's existing analytics landscape and infrastructure and analyzing data points, Trianz accurately estimated the total cost of ownership (TCO), and defined a roadmap to deploy Hortonworks Data Platform on AWS Cloud.
The Business Challenge
With migration of existing applications to event-based architecture, the client needed low-cost infrastructure and analytic solutions to deploy next-generation ODS. Further slow development life cycles, bath processing of data and heavy reliance on IT added to the challenge.
- Hortonworks Data Platform (HDP) on AWS EC2
- Hadoop deployment on AWS Simple Storage Service (S3), Elastic Block Store (EBS) & AWS EC2 Instance Store (ephemeral storage)
- Administered questionnaire, conducted executive interviews and workshops to uncover key issues and gather data points
- Using our proprietary calculator the TCO for Hadoop deployed as a web service was compared with Hortonworks Data Platform (HDP) deployed on AWS infrastructure (AWS Elastic Compute Cloud - EC2)
- Proposed Simple Storage Service (S3), Elastic Block Store (EBS) and AWS EC2 instance store (ephemeral storage) as options for AWS storage in the Hadoop deployment architectures
Accurate projections of the first year’s total cost of ownership and the cost of operating next generation operational data stores on a Hadoop-based platform in AWS.