One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Where does it stand today? What are its current challenges and opportunities? In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. Let’s examine how we got here.
In our modern digital society, data is abundant, and storage is affordable. Businesses, governments and even individuals can (and do) collect every transaction, click, swipe, location, message and attribute in their datasets. With just a few clicks on my smart device, I can review data on every place I’ve been, how much I spent, every step I took, what the weather was like and who I was with. Businesses collect the same abundance of data.
A good browser, good apps, a good camera, and fast networking in your smartphone are just expected today. – Thorsten Heins This quote shows the dependency we have on browsers, the web, and mobile phones today. But how did we come so far? Technological development and robust testing have helped us reach where we are. When it is about multiple devices and browsers – the role of cross-browser testing can not be under-estimated.
