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

This article mainly introduces the relevant knowledge of what aspects big data should pay attention to in the interview, the content is detailed and easy to understand, the operation is simple and fast, and has a certain reference value. I believe you will gain something after reading this big data interview article. Let's take a look.

First, big data introduced himself in the interview.

At the beginning of the interview, the interviewer is sure to make people want to briefly introduce themselves. You must not underestimate the self-introduction of these few minutes, it is a very important first impression. First of all, let the interviewer remember your name. Many people introduce their own name with a simple "my name is so-and-so". Until your self-introduction is over, the interviewer does not remember your name. If there is no outstanding performance in the subsequent self-introduction, then such self-introduction is doomed to failure.

So how should I introduce myself? In addition to a simple summary of their basic information, but also try to show their ability to reflect their own match with the recruitment position. Remember, self-introduction is not what you want to say, but what the interviewer wants to hear and what the position you are applying for needs. Details determine success or failure, although a simple self-introduction is only a few minutes, but its content is all-inclusive, so it is important whether the self-introduction is perfect or not during the interview.

Second, big data frequently asked questions in the interview.

Big data may encounter many technical problems in the process of applying for a job, but there are a few questions that should be paid attention to in any interview. I hope big data engineers can pay attention to the answers to frequently asked questions while improving their professional skills.

1. What are the three words that can best summarize yourself?

Answer hint: the three words I often use are: strong adaptability, sense of responsibility and always doing things. Explain to the examiner with specific examples.

What are your hobbies?

Answer hint: find someone who is full of team spirit. Here is a true story: someone was rejected because his hobby is deep-sea diving. The examiner said: because this is an one-man activity, I am not sure whether he can adapt to group work.

3. Give me a score as an interviewee?

Answer hint: try to list four advantages and one very small disadvantage.

How do you understand the position you are applying for?

Answer hint: explain the job responsibilities and tasks and work attitude.

5. What do you like about this job?

Answer hint: I believe that in fact, we must have the answer in mind! Each person's values are different, the natural judgment criteria will be different, however, when answering this question of the interviewer, you can not speak out your own psychology too directly, especially the question of salary. However, some innocuous answers are good considerations, such as convenient transportation, the nature and content of the work can quite meet your interests, and so on. However, if I can think carefully about the difference of this job at this time, I believe it will greatly increase the score in the interview.

6. Why leave your job?

Answer hint: you must be careful when answering this question, even if you are aggrieved in your previous job, do not show how many complaints you have about the company, especially avoid criticism of the company's own supervisors and avoid the negative emotions and impressions of the interviewer. It is suggested that the best answer at this time is to blame yourself for the problem, such as feeling that there is no room for learning in your job, that you want to learn more in the industry in which you are interviewing for a job, or that your previous job is inconsistent with your career plan, and so on. The answer had better be positive. In other words, I hope to get a better job, if the opportunity comes, I will seize it. I think my current job has reached its peak, that is, there is no chance of promotion.

7. What do you think of the development trend of industry and technology?

Answer hint: enterprises are very interested in this issue, only prepared job seekers can pass. Job seekers can directly find information about the industry sector you are applying for online, and only with in-depth understanding can they produce unique insights. Enterprises think that the smartest job seekers know a lot about the company they are interviewing in advance, including the development of various departments of the company, and they can mention what they know when answering questions in the interview. The people who are welcome to enter the enterprise are "bosom friends", not "blind people".

8. What are the expectations and goals for the job?

Answer hint: this is a question that interviewers use to judge whether job seekers have a certain degree of expectations of themselves and whether they know about the job. People who have definite learning goals for work usually learn faster, and it is naturally easier to enter the situation for a new job. At this time, it is recommended that you find a definite answer according to the nature of the job. For example, the job of a salesman can answer like this: "my goal is to become a super salesman and sell the company's products widely to achieve the best results." In order to achieve this goal, I will study hard, and I believe that with my serious and responsible attitude, I will be able to achieve this goal. " Other types of work can also be answered in this way, as long as you make a slight change in the goal.

Third, big data interviewed for professional knowledge questions.

In the interview process, the examination of professional knowledge is also very important. Here are some common interview questions of big data. You can try to answer them.

1. What's the difference between hive and hbase?

2. HBase receives data, and if it imports too much data in a short time, it will be locked. What should I do?

3. Describe the building process of HBase.

4. What is the principle of hbase writing data?

5. How to deal with hbase outage?

6. If you use HBase to directly use the timestamp as a row key, hot issues will occur when writing a single region. Why?

This is the end of the article on "what should be paid attention to in big data's interview". Thank you for your reading. I believe that everyone has a certain understanding of the knowledge of "what should be paid attention to in big data interview". If you want to learn more knowledge, you are welcome to follow the industry information channel.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.