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CASE STUDY September 17, 2023

Big Data Analytics Tracking Platform Processes Nearly 100 Million Events per Hour

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Business Objective

Our client is one of the world’s largest online payment processing companies with annual revenue of USD 10 billion.

The client wanted to build a robust and highly scalable application to process and store incoming click events in real-time.

Challenges

  • Architectural challenges in combining stream and batch events to ensure the resiliency of the input data
  • Extracting, transforming, and merging unstructured events from multiple sources
  • High volume of data (~ 15 TB daily)
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