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Realtime Data Migration & Transformation Platform for Marketing Analytics
  1. case
  2. Realtime Data Migration & Transformation Platform for Marketing Analytics

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Realtime Data Migration & Transformation Platform for Marketing Analytics

intuz.com
Advertising & marketing

Key Challenges Addressed

The client faced significant challenges in migrating large volumes of historical data while maintaining real-time incremental updates. Complex data transformations and normalization requirements hindered analytical capabilities, while existing infrastructure struggled to support scalable machine learning applications and timely business insights.

About the Client

Leading US-based digital marketing company specializing in campaign optimization and customer engagement analytics

Project Goals and Objectives

  • Implement seamless batch and incremental data migration between PostgreSQL instances
  • Establish real-time data transformation pipelines using CDC mechanisms
  • Create normalized data structures for machine learning and analytics
  • Ensure minimal downtime during data migration processes
  • Build scalable infrastructure for future data expansion

Core System Requirements

  • Automated historical data migration pipelines
  • Real-time Change Data Capture (CDC) integration
  • Configurable data transformation engine
  • Data normalization framework for ML applications
  • Analytics-ready data storage layer

Technology Stack

Databricks
AWS
PostgreSQL

System Integrations

  • PostgreSQL databases
  • AWS Pub/Sub CDC service
  • Business intelligence tools

Operational Requirements

  • High scalability for data volume growth
  • Real-time processing performance
  • Enterprise-grade security controls
  • Regulatory compliance framework
  • System reliability with 99.9% uptime

Expected Business Outcomes

The solution will enable real-time marketing analytics with 80% faster data processing, reduce migration downtime by 95%, and improve data quality by 70% through standardized transformations. Scalable infrastructure will support 3x data growth over five years, empowering data-driven decision-making and advanced machine learning capabilities.

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