The confusion of data novices
Hello everyone, I’m Yunqi!
Today, I just saw this article on xiaoyang teacher’s data station. I have deep feelings and would like to share with you!
All of the points mentioned in the article are exactly what I have been worrying about for countless “sleepless nights”.
Of course, NOW I have a clear idea of what I want, and while trying to play the role of “tool man”, I have started to try and make breakthroughs.
Cognitive growth, as well as learning to cultivate yourself, is the ultimate antidote to anxiety.
Good, the words do not say much, and see the text 👇
| 0 x00 new anxiety
In many large companies, the ability of the underlying technology, packaged already very perfect, as the data practitioners, basically just need to write about SQL, cooperate with operation do simple data analysis and can meet the job requirements, whether the data development, or data analysis, technological competitiveness reflect not to come out, it is different from many small company,
So where are our barriers to competition?
| 0 x01 light first
Let’s start with two core arguments:
-
In the future, in addition to core R&D positions, most of the positions will be tool people, whether they are developers or analysts;
-
Data development, analysis, products, operations, the future core competitiveness lies in using data technology to solve business problems.
New people should pay attention to:
-
Before the promotion of technical experts, these are not you should consider, the first level, salary, only qualified to talk about the future competitiveness;
-
Big factory students, usually will not go to small factories, such as Douyin, Kuaishou, Ali, Tencent, the development of highly instrumental, do not need you to understand database, Java and other messy;
-
Even if you are a data developer, just writing SQL, there is still a lot to learn, so much content to fill the next 3-5 years of your free time;
-
There’s no need to worry about your position, the data warehouse thinks the analyst has a future, the analyst thinks the data warehouse has a future, everyone thinks the algorithm is good, the algorithm says we are the adjustment engineer, are the tool people just.
Soft skills | 0 x02 work
Working soft skills are necessary skills in large companies, and even in society.
Soft skills mainly include the following
-
Vertical through the ability to encourage intuitive initiative, to find their own things to do, to prove their own value;
-
With rich information and resources, to do valuable things, to provide a broader possibility;
-
Can push things that are resistant to ground.
In addition, learning some knowledge of project management, such as the “useless” PMP certificate, is a necessary ability to achieve TL, the link value in large enterprises is very large at present. PMP and CMA professional management certificates with short time and quick results have become popular, because it is different if you have studied them.
| 0 XFF threshold of the future
When one day, after crossing the threshold of technical expertise, it is the next stage, TL stage. At this stage, the most important thing is the ability to get results and build a team, so the skills you have accumulated in the past and the network you know will play a more important role in this stage.
Why do you say so?
To get results is to give full play to the value of technology in business applications, either wide or deep. The expert ability to solve business problems through technology is the goal of ordinary people and also the most important part of the inner volume, because the tools and methods are relatively fixed, but the results are very personalized.
Building a team, when you need to bring technical experts, you will find it difficult to recruit people, although 3-7 years of work is the most popular, but the vast majority of people you can find, it is difficult to meet the needs of experts, because engineers are universal, but experts have their own research direction, the most important is the right.