2017年6月16日星期五

Why digital currency enterprise eye billions valuation



Digital currency , a hot topic in nowadays society. Coinbase CEO Brian Armstrong recently declared that the digital currency industry was having "its Netscape moment."  Like the pioneering browser that helped trigger the Internet revolution, cryptocurrencies such as bitcoin are on the verge of wide-scale adaptation, he argued.And Coinbase hs already raised $117 million from investors and eyed $ 1 billion valuation.
How these currencies work?
 A user installs an electronic wallet on either a computer or mobile device, thus creating an address that enables the transfer of money. There are three ways to get the cryptocurrency: buying them on an exchange, accepting them as payment or creating new coins, known as mining -- where you solve a math problem and get paid in these digital denominations. 
At the same time, more and more developers are making its services more accessible to mobile. The app will allow users to trade digital currency and transfer it. An online marketplace for professional services, also abstract more and more users.

When digital currency meet Big data, what will happen?

The computing mode of big data can be divide into two forms: batch computing and stream computing.
l  Batch computing
Store the data first, then to the centralized computing for the stored static data, which can be applied in such scenes with low requirement for real-time but owning high accuracy and full-round.
l  Stream computing
It is impossible to confirm the right time and order, so there is no way to store the data. And the flow data would be dong the real time computing in the later internal memory, which can be applied in such scenes with high requirement for real-time but low requirement for accuracy.

From the space, construct the digital currency running distributed cloud picture, designing the scale, the location, the time, as well as the space annotation, to form the real time cloud chart and help to analysis the accuracy space and main put on space.
From the system designing, paying attention to the robustness and scalability for the infrastructure of big data. According to the division of data layer, interface layer, service layer and apply layer, it need guarantee the security, flexibility and openness for the data collection, analysis modeling and applied interface.

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