Case Study 4
Industry: Finance Industry
Objective: Collect and leverage massive amounts of client data available with the firm to derive actionable analytics.
Key Accomplishments at this project include:
- Analyzed required and identified Big data Solution Based on Hadoop and MapR.
- Build new Architecture using Mongo as basic layer to support caching and basic search.
- Search applications were built on Elastic Search and data anlytics were built on “Data Lake”.
- Data Analytics were built on Spark
- Significant cost savings infrastructure used for storing large volumes of data.
- Client rolled out a highly performance portfolio analysis platform.
- The platform enables the client to build any future analytics at a very low cost.
- Increased customer satisfaction