A few years ago, IBM started talking about a smarter planet: Instrumented, interconnected, intelligent.
We are seeing more and more uses of sensors starting from your smart phone ant its many sensors (GPS, proximity, temperature, barometer, etc) to electric meters at your house. Add to that all the other sensors used in many industrial plants and even sensors on rails!
How can we convert this deluge of data into information?
This leads to issues related to two ways to handle data: in-motion and at-rest.
It happens that IBM has a mix of products that can handle these two "states" of the data:
For data in motion, we can use InfoSphere Streams for real-time analytics based on more in depth analysis on historical data (analytics models).
For the data at-rest, there are problems of how fast we can store it and how fast we can retrieve the information, specially when it concerns many users making requests. This would be an operational data store environment. Then, of course, there is the issue of "in-depth" analysis that requires fast access of large amount of data.
Informix has the combined solution with its TimeSeries capabilities and the Informix Warehouse Accelerator.
Learn more about the use of Informix to solve this big data problem in the following webcast:
Solving the Big Data Challenge of Sensor Data
Date: June 26, 2013
Time: 1:00 PM EDT / 10:00 AM PDT