[Editor's Note: This is part 3 of a 3-part article. Click here to read Part 2 of this three-part article.] So far, we have learnt the basic definitions of Big Data from a Broadband Service Provider’s perspective and have understood what kinds of actionable insights may be obtained from such data. However, before we do that, the data must be stored and acted upon. There are some well accepted technologies that allow us to do so, and we shall understand those next. Storing and Processing Big Data In the RGU [Revenue Generating Unit] decline example provided in the previous article, it’s usually not possible to determine a pattern behind a symptomatic decline without looking at the data, and often the answer is not obvious even then. It’s important to extract as much customer behavior information as is available, combine it with local, social or other sources of information that may be available, and to then perform analysis to understand the root cause behind the loss of RGUs. It may be possible to create a machine learning algorithm that will help “learn” behavior over time. But before we start acting on the data, we must first store it in such a fashion [...]
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