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Development of a Scalable Big Data Analytics Platform for Online Video Monitoring
  1. case
  2. Development of a Scalable Big Data Analytics Platform for Online Video Monitoring

Development of a Scalable Big Data Analytics Platform for Online Video Monitoring

oxagile.com
Media
Advertising & marketing
Entertainment

Identified Challenges in Video Delivery and Audience Analytics

The client operates a global OTT platform with a diverse user base and requires enhanced monitoring and analytics capabilities to optimize video delivery, improve user experience, personalize content recommendations, and maximize monetization. Existing solutions lack the scalability for unlimited user monitoring, comprehensive real-time and historical data analysis, and meaningful visualization tools to support data-driven decision-making.

About the Client

A large-scale OTT streaming service provider specializing in live sports and entertainment content, with a global audience seeking real-time insights into viewer behavior and content performance.

Core Goals for Building an Advanced Video Monitoring and Analytics System

  • Implement a scalable data collection infrastructure capable of processing both real-time and historical viewer statistics for an unlimited number of users.
  • Enable comprehensive user behavior analysis, audience segmentation, and content performance metrics across multiple dimensions such as CDN, country, device, and user count.
  • Develop an intuitive reporting module with visualization dashboards and structured reports to facilitate quick insights and strategic decisions.
  • Support healthcare infrastructure analysis by identifying critical nodes and performance bottlenecks within the delivery pipeline.
  • Enhance monetization strategies through detailed analytics on trending content, audience engagement, and targeted ad campaign effectiveness.
  • Reduce operational costs by optimizing multi-CDN content delivery based on data insights.

Functional Capabilities for Real-Time Video Monitoring and Data Analysis

  • Scalable architecture to support an unlimited number of concurrent users and vast data volumes.
  • Dual-mode statistics processing: real-time analytics for immediate insights and historical data for trend analysis.
  • Audience distribution analysis by CDN, geographic location, device type, and user volume.
  • Business report generation module for end-to-end evaluation of content performance, viewer behavior, and revenue metrics.
  • Interactive dashboards presenting concurrent user figures, top-rated programs, QoS/QoE metrics, and audience segmentation.
  • Automated detection of performance issues at critical nodes within the delivery infrastructure.
  • Visualization tools that provide structured, easy-to-interpret data representations to support swift business decisions.

Preferred Technologies and Architectural Approaches

Java, Spring, Hibernate for backend development
Big Data technologies such as Apache Hadoop and Apache Kafka for large-scale data processing
MapReduce for batch processing and analytics
MySQL or similar relational database for structured data storage
HTML5, CSS3, jQuery, Bootstrap for frontend visualization and reporting dashboards

External Systems and Data Source Integrations

  • Content Delivery Networks (CDNs) for traffic and performance data
  • Advertising platforms for targeted ad analysis and campaign performance metrics
  • Data sources for real-time viewer engagement statistics
  • Monitoring tools for infrastructure performance and incident detection

Key Non-Functional System Requirements

  • Ability to process and analyze millions of database records efficiently
  • Support for unlimited concurrent users without degradation in performance
  • Real-time data processing with minimal latency
  • High system availability and scalability to handle peak loads
  • Data security compliance for user privacy and data protection standards

Predicted Business Benefits from the Video Monitoring Solution

By deploying this advanced monitoring and analytics system, the client aims to achieve significant gains in infrastructure efficiency and monetization, including cost reductions through optimized multi-CDN strategies, improved viewer engagement via targeted content and ad campaigns, and enhanced decision-making capabilities supported by actionable insights. The system's scalability and comprehensive analytics are expected to support ongoing territorial expansion and content diversification efforts.

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