It is apparent that in the new world regime of Bill & Keep of interstate terminating switched access charges there are still many reasons why the Local Exchange Carriers (LECs) providing interstate terminating switched access must record, summarize and report calls and associated conversation Minutes of Use (MOU) of this type.
If you’re reading this, you’re probably the kind of person who’s attended a Big Data conference, and maybe find yourself sitting in on those “How to scale to your first x million users”. The problem is that in the real world, the problem isn’t so much scaling up from a prototype into production, but having enough horsepower to wrangle data in the conceptual phase, then scale down into a business application (then scale up again when customers want access to the raw data, but I’m getting ahead of myself.) As an industry, we’ve relied too heavily on borrowed-terms from architecture because the analogy breaks down when you consider that an architect doesn’t usually have to build first. Here, we’ll look at how Google’s BigQuery helped us do just that.
Interview with Ryan Guthrie by Dan Baker, Black Swan Telecom Journal Up to now, most of the telecom big data action has been happening at the large carriers. TRI’s 2014 study of telecom analytics solutions estimated that merchant market currently at $1,990 million worldwide. As shown in the chart below, over 70% of the big data/analytics solutions are serving the large, giant carriers.
ATS’ COO Peter Mueller was asked to present at the KTA-TTA Fall Conference on the topic of Big Data Analytics for Rural ILECs. Peter covers topics ranging from how to get started with cloud storage to how carriers can user their data to increase revenue and improve service levels. The presentation has been broken up into 6 sections.
In this episode of ATS Chalk Talk, COO Peter Mueller looks at the technical and economic rationale for having telcos embrace the public cloud. A brief explanation of MapReduce and Amazon Web Services are presented from the vantage point of sifting through Call Detail Records (CDRs).