this problem as soon as possible | instancecsのブログ

instancecsのブログ

ブログの説明を入力します。

You probably already know that 'big data' is in 2015 the most popular topic. How could you not know? Because providers and reporters always kept his ilk used the word to everyone brainwashing (This allegation was not a bit wronged them). I Nike 6.0 Trainers believe you know how they all hype, right? Big data will provide us with all Nike Air Max the answers, you can make the company's operations Nike 6.0 Mavrk Mid 2 Skate Shoes Blue Grey more efficient, contribute to the development wonderful, data-driven decisions, the company provides a two-edged competitive weapon. To some extent, this argument really right, but, as others are over-hyped technology, many companies are finding it very difficult to achieve all of this, there is a considerable gap between reality and advertising. They might have come up with an effective way BHM Lebron 12 Black White-Metallic Silver to gather and process the data, but to make it into practice, and to help make better decisions is another matter. These companies try to find out the depth of understanding between big data and big data missing a vital part, because if you do not solve this problem as soon as possible, they can only keep a lot of empty chaos data, and not Any gains. As one Silicon Valley insider told me: Recently, the company's activities in the business and financing, collection and processing of big data has been more and more attention, can at the same time, but there are huge expectations and actual results before divide. He said: 'Big data is not converted to uppercase knowledge, insight and great wisdom Black Red Women Air Jordan 6 VI High Heels Sale Great.' According to their estimates, in order to achieve this goal, we still have a long way to go. To distinguish between reality and hype we would like to believe that we can easily obtain data from large valuable information, as simple as if the following steps: the data import, run a program, then you can get the desired results, can actually It is much more complicated than that. 'Data Forecast: Big Data Strategy' (Data Divination: Big Data Lebron James Strategies), author black grey Women Nike Dunk High Heels Sale Pam Baker noted that, despite the existence of clear examples prove that the answer can be obtained directly from the data, but not everything is true. She explains: 'In quite a few cases, data can provide clear answers to our example, predictive analysis can accurately predict the service life of the aircraft or a part of the water supply system, but also to Air Jordan Air Max 2012 Purple Black Outlet tell us the exact replacement parts. time to make sure the old part of the damage before we can use it as much as possible. 'But she added:.' There are many cases, although we could not get a clear answer, but we can take from several possible actions one kind or we Nike 6.0 Mavrk Mid 2 Skate Shoes White Blue can even choose not to take action. It only depends on what you are doing. 'Baker said is that some data-driven decision-making is much more than we have seen to be subtle, but, as Brue Springsteen (a male singer) who sings, make decisions 'need a little human touch children.' People can develop reliable metrics and powerful Nike Dunk Heels algorithms to help make decisions, you must also know how to maximize the use of data in the information revealed. This information is sometimes Black White Yellow Nike Zoom Lebron 10.8 Outlet very intuitive, sometimes very obscure. Lack of experts and we are willing to believe that 2015 Nike Free 5.0 big data enables business users to directly and quickly access the data, even more amazing is the ability to make them accessible in the process can make the best decisions. Unfortunately, we now have the tools is not enough to provide such a wonderful function. To solve this problem, we need more big data experts to help, to help us deal with the data, looking for answers from the mass of information. Keith Rabois Kholsa Ventures investment partner in the company, he was such a large data such as company Parstream very interested, as he puts it: companies need big data scientists have conducted in-depth analysis of extremely complex, but in general the company can not do this point. Rabois said, we Air Max 2012 Purple Black BHM PE Black History Month Nike Lunar Hyperdunk Low Online want to make big data scientists to study the applications and algorithms, and even hope that they can carry the task of scientific research data, but in fact, many companies big data scientists do not always have time to do these things, Part of the reason is that they often do not need to spend time on the less they enjoy playing on complex analysis ingenuity, Rabois also said that the ideal situation is that big data scientists have developed for the analysis is distributed to the entire organization We need answers various departments tool.