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Data Mashing

Combined selected data sets and provided download capability for the same

Challenges

  • The client had millions of data sources, and they offer their users the capability to search relevant data sets and combine them with their own data set/any data source.
  • They needed the capability to search with faceted filters.
  • They needed a way to combine these selected data sets and the capability to download them.

Solutions

  • Designed a bold, modern and user-friendly design using React and Redux for Web UI development.
  • Used Neo4j graph database to control the data flow and to maintain data with relationships.
  • Used Python as the middle tier API provider.
  • Implemented Elasticsearch as the search engine for data sources to enable full-text search, synonym search and provide facet filters.

Tools & Technologies

React, Python, Redux, Neo 4j, Elastic, Apache Spark

Key benefits

  • Highly engaging visuals and navigation features.
  • Highly responsive web platform which can adapt dynamically to different devices and channels.
  • Faceted search capability to search for data sources to help users narrow the search┬áby what’s important, based on the┬ásearch terms they use, and without limiting their choice to exactly one item.
  • Provided Dynamic/Reusable UI components.
  • Enhanced performance and security.