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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

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