The big data revolution, first coined by Roger Magoulas in 2005, came about as a result of the increasing need for companies to not only store huge amounts of data, but also use this data as a potential source of insights and, consequently, as a decision-making tool. But what about big data is really revolutionary? Before big data software and big data analytics, companies had to mine data in the traditional sense, which took an exceptional amount of time. Factor in Moore’s Law (The observation that the number of transistors in a dense integrated circuit has roughly doubled every year), and keeping up becomes nearly impossible.

In this blog, I’d like to touch on how big data is pervading our personal and professional lives and bringing with it new solutions to age-old challenges, and in the process, redesigning the landscape of perceived possibilities.

Big Data gives businesses better insights

With the advanced algorithms used in big data software, the real benefit is not only the massive amount of information, but the ability to scan, find trends and see the relationship between the many transactions and queries within this information. Varied industries such as insurance, healthcare, entertainment and retail grocery have had better year-on-year results compared to those not capitalising on their company data with big data software.  In a recent article in Harvard Magazine, the figure given for the accumulation of data over the last 2 years was over a Zettabyte. To put things in perspective, that’s more than the entire amount of data previously collected by human civilisation.

With all this data floating around, and the algorithms it takes to analyse this data readily available, the smart money is best spent on using big data software to one’s advantage.

What does Big Data mean for CIOs?

What does big data mean for enterprise CIOs who collect volumes of data through their monitoring systems on a by-the-minute basis?  No one can predict the future, but given enough information, one can certainly forecast the most probable outcome. Predicting trends, forecasting how the network will grow, and making sure that the company (and its investment in technology) is well prepared for any and all eventualities will go a long way in securing a profitable future for your organisation. Using one of the hundreds of open source tools available to give a clear graphical representation can make it easy to extrapolate information and make informed decisions about the future. These insights can then be packaged in a way that non-technical management can relate to in order to provide benefit to the entire company.

Big Data very often holds the answers to complex network challenges

When running an operation of this magnitude, any weak link in this vast chain of parallel and connected technologies can be a risk – including one’s network.  It may surprise you to know that network monitoring and big data go hand in hand. With Big data software having moved so far along and with the advancements in technology on so many different fronts, it would makes sense to be sure that your network monitoring solution is up to the task of the big data revolution.

Iris Netflow not only quickly identifies bottlenecks, but also takes corrective action and will leverage your existing data collection for detailed analysis and Network Reporting.  No matter how fast technology evolves, Iris Net flow helps you make sure your network stays up to speed.


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