Our Guide To Buying The Mouse You Need

The choice of the mouse is a big deal when you need to find something that is not going to play bad tricks. In 2016, the vast majority of mice you will find on the market was equipped with a laser or optical technology.

I think the right approach is to ask the right questions about these two types of mice. Yes, but what if you do not know anything about it and need to decide quickly? Luckily, I have a little guide that will help you find the mouse you need.

Mouse With Optical Technology

What distinguishes optical mice is that they have a small LED that will diffuse the light. It works only on surfaces that are not reflective, and the movements are transmitted through a lens.

As for the accuracy of the optical mouse , it is based primarily on the number of PPPs whose sensor is equipped. It can therefore have a sensitivity more or less important, depending on the capacity of the sensor. So, I do not think that players are very interested in this type of mouse, since they are generally less efficient than those laser sensor.

Mouse With Laser Technology

I now move to the laser mouse which no longer has LEDs. On these models, the advantage is that the area analyzed by your sensor is much smaller. This gives a small advantage to the laser mouse which can easily offer more retransmission. A small detail that is important if you play online and that each ration of a second can cost you your life.

LED mice also have the ability to work on any reflective surface. If you do not like the mice that detect all the parasitic movements that you can do, I do not advise you to take this type of mouse to do the office.

Big Data: Smart Data, The Foundation Of Digital Business Transformation

We are talking about more and more in companies, the Bigdata, these very consistent databases, allow significant changes when they are well exploited. Zoom on this digital “revolution”.

Big Data At The Heart Of IT Security

The hyper-connectivity of individuals today allows producing a massive volume of data. It is now estimated that nearly 2.5 million data are produced each day. And the individual production of data would tend to double every 18 to 24 months, this being the consequence of the proliferation of media including mobile (computers, but also smartphones and tablets).

Given this situation, it is imperative for companies to identify and secure the massive data of their customers

Can Big Data Become A Tool For Analyzing And Detecting Threats?

At the moment, the security of large companies is based on two stages that are considered relatively successful. The first of these steps concerns a form of “basic” protection against known threats (antivirus helping to fight against malware, etc.). The second step is to identify unknown threats in real time, with the implementation of protection. The third tier is the use of Big Data as a means of measuring the impact of a threat on an IT infrastructure .

Indeed, if Big Data represents a massive volume of digital data virtually, it can also take on an analytical and predictive dimension. Thus, encouraging analytic practices related to Big Data within the company can help strengthen security systems, while developing a form of awareness of the threat.

How Can Big Data Leverage The Value Of Enterprise Data?

In 2010, Eric Schmidt then CEO of Google made the simple observation that “the production of information is as important every day since 2003 as since the dawn of civilization.” Thus, the challenges of Big Data can be summarized in three essential dimensions: speed, the variety of data and the volume of massive data . For businesses, Big Data is an opportunity for innovation and development. Given the previously very expensive nature of data collection, storage and exploitation, a more cost-effective and efficient approach were essential. Big Data is thus seen as a “new ability to manage, process and analyze the exponential evolution of massive data”.

Any data, even digital, has a real value that should be “qualified”. That is why it may seem appropriate to add a fourth dimension related to the “value” of a given data, as long as it is used and refined in order to value information. It is from here that we speak of a more “scientific” treatment of the data, and that specialized profiles of the Data Scientist type intervene.