Streaming ingestion

IoT

Combine raw data (sensor, network, transaction records, social media) and stored data (personal history, network and security data, demographics, research data) to optimize operations by detecting system threats, monitoring and integrating all processes in real time, and automatizing actions. Increase revenue through support of multiple applications, millions of users and subscription-based aggregated feeds.

 

Example Applications

  • · Real-time Data Capture
  • · Continuous data stream consolidation, filtering and aggregation
  • · Real-time data validation
  • · Real-time cleanup and repair
  • · Continuous ingest into any number of destinations, simultaneously: Hadoop, NoSQL platforms, Oracle, SQLServer, and RDBMS platforms such as Teradata