"Big Data" is among the hottest topics in business today. Executives want to know how to gain actionable insights and make decisions from the flood of data and metadata pouring out of their networks. That's good – it's their job to look for any way they can increase sales, reduce waste, and generally improve their business efficiency. But to get to those actionable insights, you first have to make some kind of sense of all this data.
Volume, Velocity and Variety
The three attributes of Big Data are volume, velocity and variety. Each one brings its own challenge to your network infrastructure and specifically to the network monitoring system you use to collect, capture and analyze your data.
Big Data flows out of Big Networks – the high-capacity architecture that supports a previously inconceivable amount of commerce and communication. You need to tap into that gigantic flow of data, recognize what you're seeing, and organize it for the deep analysis that yields the answers you're looking for.
To do all that, you need intelligent network monitoring switches that are big enough and fast enough to work at the volume and velocity of the data you're after. They also need to be able to identify and organize the variety of data flowing through your network. The network monitoring switch must possess the capability to create order out of chaos of this massive data flow.
How Much Data Can You Afford To Analyze?
In the business world, nothing of value comes for free. The tools required to analyze your data and get the answers you need are not cheap. Big Data can easily overwhelm individual tools – and you can't get the true answer by sampling a little bit of Big Data here and there. You need to own all the data to get the whole picture, and that can run up a huge expense.
An innovative network data collection strategy, based on intelligent network monitoring switches, will let you tame the torrent. You can render Big Data manageable with a much smaller set of tools, and that keeps your network analysis costs under control.
Intelligent Network Monitoring
Today's intelligent network monitoring switches can gather, collate, filter, process and distribute packets to analysis tools, assuring data visibility, stability, security and optimization of your tool investment.
Here are a few features of state-of-the-art intelligent network monitoring switches that make it possible to manage Big Data:
- Packet deduplication culls the stream of duplicate information that can make up 40% of network monitoring system traffic. You need to eliminate duplication to get a good look at the real data. Filtering out duplicate packets also saves money because you're not buying multiple tools or incremental tool licenses to analyze the same data over and over again.
- Packet slicing strips data packets of bits that are unnecessary for certain tools. Packet payloads can be removed for IDS tools that do not need payload information to perform their work. Credit card numbers and social security numbers can be sliced away when packets are sent to traffic analysis tools. This lightens the load while serving the dual purpose of increasing throughput efficiency and maintaining security regulatory compliance.
- Time stamping allows you to know the exact moment – within fewer than 10 nanoseconds – when some event happened on your network, in precise relation to the last event and the next event. With Big Data, when something happened can be as important as what happened. By stamping each packet with its exact time of entry, you create a new level of metadata that allows your analysis tools to precisely reconstruct a sequence of events.
- Multi Stage Filtering techniques simplify the process of sorting unstructured data. To be used effectively, each analysis tool needs to receive a complete set of accurate traffic; nothing more and definitely nothing less. Multi Stage Filtering takes a Big Data input stream and directs it through a series of filters that you design, carefully sorting the individual data packets and directing them to tools or to additional filters for pinpoint accuracy. When you eliminate irrelevant packets from a tool's input stream, you get the full value of your data without wasting resources.
There's more, but these are the newest features that allow intelligent network monitoring to reduce and organize Big Data into something you can use to understand the flow of activity in your business more effectively. Intelligent network monitoring turns on the light to let you see Big Data clearly.
ABOUT Richard Rauch
Richard Rauch, President and CEO of APCON, founded the company in 1993 to provide state-of-the-art network connectivity to a wide variety of industries. Today, he is the driving force behind the research and development of APCON networking technology, and has built the company into a leading supplier of intelligent network monitoring products.
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