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