Hadoop Real Time
Large US based corporation
The client is a large US based corporation. Their transactional system generates 4TB of data daily.
This data needed to be processed both in real time and in batch processes for analytics, eCommerce and marketing campaign management.
A real-time ingestion platform
Datametica built a real-time ingestion platform consisting of Flume, Kafka, Camus and Hadoop/Spark.
Real-time A data processing transit
Our Solution also included:
- Data Processing in transit in real time at very high volume and transaction rates
- Allows the additional use case of real-time fraud detection
Ability to serve real time as well as batch processing requirements
Improved analytics capability as the data is available for both real-time and Hadoop analytics
Maximized revenue streams, creating several business initiatives that have measurable increases in sales and margin