From Big Data to Fast Data Big data is old news. Today, the key to leveraging data effectively is to do fast data.

In a similar fashion, traditional incident management-which entails collecting and analyzing large volumes of monitoring information-is no longer enough. Organizations must also now do “fast monitoring,” which means not only collecting monitoring data; but making it actionable in real-time.

This post examines what fast monitoring means, and explains how incident management teams can implement this approach to realize great benefits.

To understand the concept of fast monitoring, you have to understand fast data – one of the newest innovations in the big data world.

Very simply put, fast data is big data done in a fast way. Whereas big data traditionally meant storing large amounts of information and analyzing it later, fast data means performing data analytics on large amounts of information as quickly as possible-ideally, in real-time. The goal is to analyze the data when it is as actionable and relevant as possible.

Being able to stream data from its source into an analytics platform is an important part of leveraging fast data. By supporting streaming data collection, as well as in-memory processing, and analyze large amounts of information at speeds much faster than non-streaming, on-disk data analytics platforms.

 

This article originally appeared in Cloud Computing Expo.  To read the full article, click here.