5 Things to Know About Big Data in Motion
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As world activities become more integrated, the rate of our data growth has been increasing exponentially. This data explosion is making current data management methods inadequate. People are using the term big data to describe this latest industry trend. IBM is preparing the next generation of technology to meet these data management challenges.
Here are 5 things to know about big data in motion:
1. Big data is divided into “data in motion” and “data at rest.”
Data in motion is the process of analyzing data on the fly without storing it. Some big data sources feed data unceasingly in real time. Systems to analyze this data include IBM Streams, which we cover in this blog. Data at rest is a snapshot of the information that is collected and stored, ready to be analyzed for decision-making. We cover this in another blog.
2. Big Data has several characteristics that all begin with V.
3. IBM Streams allows for instantaneous processing of data in motion.
Not only is the actual data available right from the sources, but those sources are also interconnected in such a way that we can acquire that data as it is being generated. The acquisition of data is no longer limited to the realm of passive observation and manual recording. Where we once assumed, estimated, and predicted, we now have the ability to know and take action.
4. IBM Streams is installed on nearly every continent in the world.
Here are just a few of the locations of IBM Streams, and more are being added each year.
5. IBM Streams is inexpensive to install.
Over the past several years, hundreds of applications have been developed using InfoSphere Streams. These include such areas as:
For more information, read all about it in IBM’s Redbooks publication: Addr