Anyone remembers this cartoon? I think the first time I saw it was in the '80s. Still, it keeps coming back.
This used to apply to IT requests. It can also be applied to all sort of things, including how quickly you want to go from data to actionable information.
In Today's world, it seems that we need to get insights now. This is one reason for the rise of the interest in "data in motion".
Real-time analytics apply in many industries including medical, telecommunication, and security. You can find additional examples in the
following article: Big Data in Motion Where? Everywhere.
There is a special need in processing machine data. The data can be generated at such a rate that we need machines to analyze all that data.
You can find more information on machine data examples in the ebook: The Rise of Machine Data: Are You Prepared.
Data in motion processing is here to stay. It is a great approach to solve many business problems. Of course, this approach does not work in a vacuum.
It is a great complement to new and established systems based on data at rest. Here, I mean systems that use data repositories such as operational
data stores, data warehouses, Hadoop (BigInsights) and other NoSQL repositories.
The IBM solution for data in motion is InfoSphere Streams. You can download a free copy of the software to learn about it.
It is called the InfoSphere Streams Quickstart Edition. Visit the streamsdev site to download a copy of it and access an introductory lab (under Docs).