Building data transfer pipelines from MongoDB

For a Collections Fintech Company.

CLIENT & PROBLEM STATEMENT

  • Collections Fintech company requires reports on collections data for improved insights.
  • Need for efficient data processing and visualisation from MongoDB to BI tool.

APPROACH

  • Utilised MongoDB hosted on AWS as the primary database for collections data.
  • Implemented G-Square’s proprietary ETL process using Python for data extraction and transformation.
  • Transformed data stored in MonetDB for optimised querying and analysis.
  • Integrated processed data with Narrator BI tool, hosted on AWS Cloud for scalability.

SOLUTION & OUTPUT

  • ETL process transformed MongoDB data to MonetDB.
  • This process led to significant enhancement of the query performance.
  • Generated insightful collections reports via Narrator tool on AWS Cloud.
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