Big Data and the Speed Factor

Denis SutherlandBy Denis Sutherland, Sr. Manager, Sales System Engineering

Have you ever been overloaded with information, and can’t process it quick enough before more comes in? We all want to react quickly enough to events so we can start taking action before an incident progresses.  If a key customer network goes down, we want to start to find fault immediately based on the information we have, and refine as we know more.

If you had 2GB of Network stats coming from different sources and you presented a single view of the truth to a NOC or in a customer portal, it could give you or your customers some great insights but how do you turn it to something useful? …This is a big data problem.

The speed at which data is arriving is the third “V” (Velocity) that I would like to discuss in the series. One of iDirect’s customers has a 1400GB database of network statistics that is growing at 2GB a day; the speed at which this information about the network is coming in makes it difficult to process it into anything useful. This is a big data problem.

Imagine if you have high-value customers using their VSAT connection for a variety of applications. Those apps may be mixed in with an Internet service or if you have a cellular backhaul system that is using a range of different IP Addresses and Port Numbers.

How do you represent that simply on a Customer Portal so that the end customer can see how much traffic the GSM service is consuming?  They don’t care that you have the SatManage Traffic Analysis probes, and can inspect with packet and port with Network Flow.  You will soon have 10000GB of data to sort through, and it keeps coming.

Big Data and the Speed Factor

You need tools that help you consolidate these different metrics, and track terminals as they potentially move from beam to beam to produce reports that are simple to understand, but accurate.  VSAT is complex and having to monitor RF and IP metrics means the satellite operations are a complex place, and this means you need a system designed specially to fix the problem. Standard terrestrial tools will not have a full comprehension of the RF metrics, so how can they turn data to knowledge?

Big Data Problems are often a combination of all issues we have discussed: Variety and Volume. It has been generated by social change, billions of people connected on social media, fishermen at sea, soldiers away from home, and now passengers on planes all want to be connected. There are millions of GPS-connected mobile devices, and an ever increasing number of VSAT enabled end points.  This is all creating 3V’s of Data, but as it is created, opportunities emerge.

I can help “thought leaders” solve challenges and problems they previously couldn’t, unlocking the value in your data.  Why would you not use your data to your advantage, attract high value customer through offering customer portals, integrating systems with APISLAs, and reduce customer churn with a proactive support model?

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