Big Data

Meeting the Challenges of
Big Data: Head On

uCIRRUS believes industry trends are pointing to a step change in how data is valued and categorized. In past and legacy applications, the greatest volume of – and most highly valued kind of - data was stored or historical. With the drivers of Big Data, extraction of true value comes when applications have access to and can process true dynamic or 'right-now' data.

Accessing and leveraging this 'right now' data can be hampered by a number of challenges. If you have challenges in one or more of these areas, you are attempting a transformational change to processing dynamic data in your enterprise... and XPRESSmp™ is the solution for you.

  1. Ingest large volumes of data in a timely manner
  2. Conduct lowest-latency processing
  3. Massive scalability and online transaction processing
  4. Extract real-time value from dynamic data (relevance, personalization, sentiment, etc)
  5. Large-audience content delivery
  6. Right-now, real-time data warehouse load
  7. Reduce complexity

Click here to see use cases of XPRESSmp deployed in specific solutions.