After reading many articles on big data analysis, he found himself some trouble. Nearly more than two months time-job learning also, and finally on large data had some understanding, not that deep. And a summary of the past two months as their own to learn it!
Speaking Why did you choose this major, said to have a coincidence. Work for five years, no place can feel the work of the development. Want to start again, just want to look at the contents of software. See someone recommended <historical opportunities and challenges of big data era> after. For some of their own ideas and some open to expand. So they chose to, at least, at this stage, he is still to be technology-focused. After all, the accumulation of their technology before the age of 30 is still very important, and slowly accumulate their own network of contacts in the process of learning technology.
After studying for two months, that is, some basic content, C, database, engineering, mathematics and English. In short, science is a headache. I found that they do not know or do not understand a lot of places in the learning process. Good thing is that by learning these lessons, to find their favorite direction there. Did not have much real. Also they are staying at the level of theory. It may be he is a lecturer because of it! During the lectures directly in the teacher can determine there is no level, how about technology? Because our age, something really go back, or to remember some of the boring mathematical knowledge is really useless. After all, our time and energy are limited, develop on their favorite direction on it. Up to now more recognized later database teacher's words: Big Data is the third of Technology, seven management, twelfth of the data. Sometimes, we will always look for the most important technology, but forget it must be applied to our lives to be able to produce its corresponding value.
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So, after working to develop a habit, in order to avoid their own technology blindly into a fog, always telling myself to exercise a kind of ability is the ability to say you do not understand a line technology within a minute or two to understand technology you will. Like who said, like Einstein's theory of relativity is very advanced, but the world will know two people, others only know how to use on the line. Our time is such an era, various techniques have been developed very mature, but really you need to use a combination of a person can be connected with the market completely. No matter how skilled, people do not or can not produce value. So, sometimes, important direction than the efforts!
Come to talk about big data generated so much data capacity caused by continuous expansion. More precisely, it is not as good as mobile phone-based mobile Internet promoted the emergence of big data. Internet industry never a lack of new term, how to maintain their own fields, and constantly deepen the learning is very important. Another point is that technology interlinked, have always believed that if you learn a technique for a long time did not learn, then it may be your problem! But you have to grasp the fundamental technology, people will always be changing the pattern of packaging a variety of techniques, but you have to find them at all is the most important, the rest is to be repeated practice and deepen your practice of proficiency using this technology to create the appropriate value for you.
For two months, when they heard of data mining class, for the first time he seemed to find the direction they want to learn. Indeed, this course teachers are starting to go from practice to explain the project. He spoke of the idea of multidimensional modeling for their great inspiration, broke his own understanding of the traditional network marketing business, in particular will have a future value in the future before the era of big data. Personal data mining to understand is this: change the traditional passive to active sales into sales. In this case, it will cause a big impact on many of our traditional industries. In fact, there are many ways to generate value are also based on data mining. It is also a focus of their future learning.
Come talk about reading comprehension, one to the library, and that they can calm down, library time, he would have got the book you're looking for, then look at publishing time, look at the author. In general, the election of foreign, not domestic election authors. Near election time election time is not far away. When you borrow a book, starting with the directory to find the content they want to know, look at the focus of this section, other content, by way of speed reading. Always believed this: When you're reading a "bad" book when you waste the equivalent of two reading time period is the time you see "good" book, another section that you see in this "bad" book time!
About a question, do not be so anxious to ask teachers, after all, everyone is busy. There are problems, always will first down, go back and go their own answers, to think, really can not find the time to go look for e-mail to the teacher asked. After all, a good question than a good answer important! Good question because two people can contribute to the common thinking.
Well, that's something more than two months since learning from those realized in large data. Recently we have found learning some slack. Summing up the past, under the spur himself. Keep going! Come on!