The original poster is a university student, studying fuse professional, remember the beginning of the freshman freshmen seminar, head of the department is in big data data of many words, but as a concession fuse of the college major, the curriculum nature is management class economy class discipline has the upper hand, also prescribe, object-oriented database, but that's all is a foundation, it few schools about big data project, it can be said that the original poster only count half of the programmers, now to the big data is not in-depth understanding, so to you consult,
The recent problems begin to pay close attention to career direction, found that there are some position called "data analyst", "data r&d engineers," requirements are "familiar with Hadoop, Spark and other distributed computing, a statistical basis, sensitive to data", I again remind of the dean said "this course open before data mining, now has not opened", drums, so my heart afraid the job no prospects (after all I know is not enough, please light spray),
Anyway, personally, I always feel to do data analysis is more handsome, also not so pure technical (when can show the results of the analysis of the doped subjectivity), is tall, with a CDO is more closely, so is expected to advance management,
Because is a concession, the building has a strong theoretical knowledge of ERP, supplemented by good Android development, also thought of Android engineer or ERP implementation consultant these jobs, but again afraid only Android development,

Now want to listen to you what a great god, mainly two problems:
1. The prospect of the technology of data,
2. The Suggestions to the building Lord employment,

The original poster is not afraid of spray, fire to me!!!!!!

CodePudding user response:

Future is cloud + big data in the world, which is, no doubt, but not all companies are applicable, unless it is professional to do data service, or business companies or small companies make big data is bullshit, big data upfront costs, back to the time is long, is too much for small companies simply, and should not be input energy here,
Big data as ETL, data cleaning, data analysis, data mining, data visualization, data applications, and other fields, all kinds of frameworks and tools is very, very much, and update soon, need some time to learn,
To do data analysis in the Spark, for example, if you are familiar with Java8 steam, function oriented programming paradigm, familiar with SQL, do big data can play,
Don't give advice,,, my advice is often contaminated milk,,,

CodePudding user response:

Ha ha, I also am fuse professional, sophomore year direction is data mining, and now in practice, jobs are big data analysis engineer,
I can certainly tell you, never out of date, and data mining tools to become obsolete, math how out of fashion? You know a bay leaf, 100 years ago, there was,
Do this, want to have two ability, ability of statistical algorithms, and the ability to use tools,
Those who what hadoop, spark mlbli, tool use, willing to learn nature to fit the time came,
But the basis of the data mining algorithm, and it's worth taking the time to grind, the basis of commonly used algorithms, you take the mathematical principles, derivation patience careful to clear,
Then at work, in combination with the business, understand the business logic and data analysis,
Higher requirement is that the development of the mining algorithm, improve level, are now doing the spark combined with statistical analysis of the business, mlbli learning, later will do algorithm development

CodePudding user response:

To make data mining is generally going to 3 to find a good job
The technology of rice and eat
I want to consider the settlement of north guang and personality fits its own technical route

If you want to do management, learn JAVA, do project is the right direction

CodePudding user response:

But of course, the mining have different application scenarios, corresponds to a lot of big data of blind spots,