Shulou(Shulou.com)06/02 Report--

The course of learning big data has also come to an end, and it has come to the stage of preparing the paper. While there is no class during this period of time, I want to sort out what I have learned at school. It can also be regarded as giving yourself a position and at the same time planning the direction of the next step.

A person doing traditional CT training, after watching "Historical opportunities and challenges in the era of big data", suddenly found that this word, which has just made its debut in 13 years, seems to lead the trend of the future. So by chance and coincidence, I applied for an on-the-job graduate student majoring in big data of Beihang. After nearly two years of courses, as well as IBM's big data course on the Internet. First of all, feel. If you want to do big data, you must have a certain code base. secondly, your code logic and programming habits are also very important. Because no matter how big the data is, you should first have your own understanding of the data, and then talk about the application. You can't make a decision just by patting your head. After all, the data is there, how to use, how to use the data is the most important. Here, a concept that individuals agree with is that the most valuable data is in the hands of operators. This leads to the topic of today's discussion: the relationship between big data and CT,IT?

Seeing the news, AT&T is about to start a new round of transformation. All network devices need to start to change to the direction of SDN. This, perhaps do not understand the traditional CT, popular, that is, the operation and maintenance staff of companies like BAT now begin to do part-time network operation and maintenance work. For Huawei, ZTE's service engineers, the days of upgrading equipment will be gone forever if they just type a few lines of code and pass on several new versions. Because automated operation and maintenance, as well as big data collection will greatly reduce the number of maintenance personnel. Just like sometimes, I would say that the cross-border competition in the IT world is the same, you can C, he can JAVA, but other people directly use assembly to write your BUG, then you will be vulnerable in front of others. In particular, it is reflected on the home terminal ONU, taking advantage of the loopholes of the existing optical cats to expand your functions.

Software changes the world, and the network links the world. The next joint is bound to be in ICT convergence, because the data available to operators is the most valuable. The correlation analysis based on these data can assist IT to make corresponding products, which is closer to the needs of users. The acceleration of communication chain, the distribution of user content, and the analysis and presentation of data seem to be the endless emergence of various new technologies in the era of big data. But whether it is close to the user and accepted by the user is the driving force for the development of a product.

Luo Pang said in his New year's speech that this is an era of making points. In the era of big data, how to make some? This is what I have been thinking about, combined with the technology I have mastered over the years, it is connected to this area. For IT, it is the entrance to the user's home. And this, the best combination, is the telecom CDN, there is Thunderbird such products. Leave the acceleration to the operators and the charging to the professional Thunder. In fact, there will be many points of this combination in 16 years. Then think about the relevant data generated by the user, how to collect, analyze and push the relevant products. At this point, it is believed that data mining and analysis are still needed.

In short, IT and CT are gradually merging, in which big data will have a post-driving force. The corresponding technological innovation will break through and change our original cognitive concept in the form of cross-border. For this kind of change, what matters is not what you can do, but whether you can learn the corresponding content in a short time. Again, the real learning at work is based on how much you focus on and how much you overcome difficulties, not how long you study.

2016, new journey, come on!

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