017 职场新人 / 毕业生 能在大数据领域找到合适的工作机会
017 Can a Fresher Get a Job in Big Data? – Big Data Career Opportunities for Freshers
译者注: DataFlair 广告贴，参考不大
If you are a fresher or thinking to build a career in Big Data then you are at right place. There might be questions in your mind related to the career in Hadoop that’s why you reached here. So, we have answered many questions that will tell you each and everything about the career in Big Data. Explore all the questions and their answers and start learning Big Data for a high paying job. Starting with the first question that must be revolving in your mind.
如果你是一个在大数据领域建立职业生涯的新人或想法，那么你就在正确的地方. 在你的脑海中可能会有一些与 Hadoop 职业相关的问题，这就是你来到这里的原因. 因此，我们已经回答了许多问题，这些问题将告诉你大数据职业生涯的每一件事.探索所有的问题和答案 开始为高薪工作学习大数据. 那么从你脑海中必须循环的第一个问题开始.
Big Data Freshers jobs
Do Fresher Get a Job in Big Data?
职场新人 / 毕业生 在大数据方面有好的工作机会吗？
Being a fresher, will I get a job in Big Data?
作为一名新生，我能在大数据领域找到一份工作吗？
The answer to this question is a very big YES.
这个问题的答案是一个 大写的 YES，YES 是的.
There is no place in IT where freshers are not required whether it be an old technology like mainframes or latest technology like Big Data. This is just a myth that companies do hire experienced professionals only for big data. So in this article, we are going to get answers to many similar questions like – Why Big Data, are there jobs for freshers in big data, how can a fresher get job in big data, skills required to get job in big data, is big data good for freshers, big data jobs and career opportunities for freshers etc.
无论是像大型机这样的旧技术，还是 大数据等最新技术. 这只是一个神话，公司只为大数据雇佣经验丰富的专业人员. 所以在这篇文章中，我们将得到许多类似问题的答案，比如 为什么大数据, 大数据中有给新生的工作吗，新生如何在大数据中找到工作，在大数据中找到工作所需的技能，大数据对新生有好处吗, 为新生提供大数据工作和职业机会等.
So let’s start our journey towards Big Data as a fresher. Let’s go step by step answering every question from fresher’s perspective:
因此，让我们以更新鲜的姿态开始大数据之旅. 让我们从更新鲜的角度一步一步地回答每一个问题:
Why Should I Learn Big Data?
我为什么要学习大数据？
The most important question before you** start learning Big Data **is – Why should you learn Big Data? So, here is the answer to your question.
摆在你面前的最重要的问题 开始学习大数据你为什么要学习大数据？所以，这里是你的问题的答案.
As per “The Economist” – World’s most valuable resource is Big Data now and no longer oil. This itself explains why you should learn Big Data. Big Data is not only a technology, but it’s a paradigm shift. So if not today, tomorrow definitely you will have to learn this technology to survive in the IT industry.
根据 “The Economist” -- 现在世界上最有价值的资源是大数据，不再是石油. 这也解释了为什么要学习大数据. 大数据不仅仅是一种技术, 范式转变. 所以，如果不是今天，明天你一定要学习这项技术，才能在 IT 行业生存下来.
Every company will have big data in its future as, without big data analytics, companies are deaf and blind.
未来每家公司都将拥有大数据 如果没有大数据分析，企业就会又聋又哑.
According to Forbes: The Hadoop market will reach almost $99B by 2022 at the CAGR of around 42%.
根据福布斯: 到 2022年，Hadoop 市场的复合年增长率将达到 42% 美元.
So it’s a golden opportunity for you to start your career directly in Big Data rather than in any older technologies, which are quickly becoming obsolete. Stop taking yourself to that point where companies will throw you out due to the knowledge of only obsolete technology and not the latest technology. Start your career in big data and then you will see a continuous growing career curve.
所以对你来说这是一个绝佳的机会 直接在大数据领域开始你的职业生涯 而不是任何正在迅速过时的旧技术. 不要把自己带到公司会因为只知道过时的技术而不是最新的技术而把你扔出去的地步. 在大数据领域开始你的职业生涯，然后你会看到一个不断增长的职业曲线.
Do Companies Hire Freshers for Big Data?
大数据公司会招聘新人吗？
So answer to this question is YES, YES and YES. There are many job openings for freshers in Big Data Hadoop field and you can understand the same from below openings. Just the main thing to grab these jobs is by showing Big Data talent in resume and interview. About this, you will learn as you proceed ahead in this article further.
所以这个问题的答案是 是的，是的，是的. 大数据 Hadoop 领域的新生有许多职位空缺，你可以从下面的空缺中了解到这一点.抓住这些工作的主要方法就是在简历和面试中展示大数据人才.关于这一点，你将在这篇文章中进一步学习.
You must read the success story of Aparna (a fresher), how she got the job as Big Data Engineer
你必须阅读 Aparna (一个新人) 的成功故事，她是如何获得大数据工程师的工作的
Big Data Freshers Jobs
Big Data Freshers Jobs
Big Data Freshers jobs
Big Data Freshers jobs
Big Data Freshers Jobs
The above images are from the top job providing websites such as Glassdoor, Indeed, and Naukri. This shows how companies are hunting for big data talents while there are huge layoffs for other technologies professionals due to this paradigm shift.
上面的图片来自提供 Glassdoor 、 Indeed kri 等网站的顶级职位. 这表明，由于这种范式的转变，公司正在寻找大数据人才，而其他技术专业人员则面临巨大裁员.
What is the Salary of a Big Data Fresher?
大数据新生的工资是多少？
This is the second most important question that requires an answer before the big data journey begins.
这是大数据之旅开始前需要回答的第二个最重要的问题.
Big Data salary for fresher generally ranges between** 4-9 LPA** depending upon various factors like the company, its position, location and most importantly your interview performance and the post on which you are hired etc. This shows that Hadoop fresher jobs pay the most as compared to jobs in older technologies.
新生的大数据工资一般在 4-9 LPA 根据公司、职位、位置等各种因素，最重要的是你的面试表现和你被录用的职位等.这表明 与旧技术中的工作相比，Hadoop 更新鲜的工作报酬最高.
What are the Skills Required for Big Data Fresher Job?
大数据更新工作需要哪些技能？
This is one of the most important questions that will assure your job and higher package in big data. If you have the required skillset as demanded by the employers than no one can stop you from getting a job in Big Data with a very good package. This is the mantra that Previn Kumar applied to get a job in big data as a fresher.
这是确保你的工作和大数据更高包装的最重要的问题之一. 如果你有雇主要求的所需技能 没有人能阻止你在大数据领域找到工作 非常好的套餐.
Prerequisites to Learn Hadoop
学习 Hadoop 的先决条件
Programming knowledge with basic java is considered relevant by recruiters. Strong passion and interest in learning big data and strong presentation skills with basic prior Java knowledge will definitely give you a job in big data.
招聘人员认为基本 java 编程知识是相关的. 学习大数据的强烈热情和兴趣，以及具备基本 Java 知识的强大演示技能，肯定会给你一份大数据工作.
So, after having all the prerequisites, what next to get a job in Big Data?
那么，在具备了所有先决条件之后，接下来在大数据领域找到一份工作是什么？
Next comes the technical knowledge. Different profiles in Big Data demand different skill set but there are few common technologies that you should know before you apply for big data jobs. Most important amongst those are Hadoop, Apache Spark, Pig, Hive, HBase and Yarn. Make yourself expert in these technologies not only from theory perspective but gain strong hands-on knowledge and projects experience to get Hadoop interview calls. Dataflair is here to help you in making technology expert to showcase your talent in interviews.
接下来是技术知识. 大数据中的不同配置文件需要不同的技能，但是在申请大数据工作之前，你应该知道的常见技术很少.最重要的人当中有 Hadoop，Apache 的Spark，Pig，Hive，HBase 和 Yarn .让自己不仅从理论角度，而且在这些技术方面成为专家** 获得 Hadoop 面试电话的实践知识和项目经验**. Dataflair 在这里帮助你让技术专家在面试中展示你的才华.
Big Data Freshers Jobs - Prerequisites
This is the proven fact that if you have the knowledge of these technologies to a deeper level, you will** easily get Big Data job** and this has been proved by Shashank Yadav, who got a job as Big Data Engineer in Prescient Health Group.
事实证明，如果你对这些技术有更深入的了解, 轻松搞定大数据工作 事实证明了这一点Shashank Yadav 在先见之明的健康集团找到了一份大数据工程师的工作.
What are the Big Data Career Opportunities for Freshers?
新生的大数据职业机会是什么？
As Big Data is a very huge field, there are multiple roles available for freshers in Big Data. You can opt for any of these from the below-mentioned roles and their responsibilities:
由于大数据是一个非常庞大的领域，大数据的新生可以扮演多种角色.您可以从以下提到的角色及其职责中选择其中的任何角色:
Big Data Developer
大数据开发者
This is the most demanding role for freshers and there are numerous job opportunities available for this role. Getting a job in this field, you need to know the technology from a developer perspective and must have hands-on coding knowledge of above-mentioned skills.
对于新生来说，这是最苛刻的角色，这个角色有很多工作机会.在这个领域找到一份工作，你需要从开发人员的角度了解这项技术，并且必须对上述技能有实际的编码知识.
Big Data Admin
大数据管理
Though it is less in demand as compared to developer profile, still there are many job openings for it as well for students who are not interested in coding. You can start a career as big data admin by learning concepts like how to install Hadoop, Hadoop configuration and cluster management etc. This does not require coding knowledge.
尽管与开发人员配置文件相比，它的需求较少，但对于对编码不感兴趣的学生来说，它也有许多职位空缺.通过学习如何安装 Hadoop 、 Hadoop 配置和集群管理等概念，你可以开始大数据管理员的职业生涯.这不需要编码知识.
There are many other profiles available in big data like a data scientist, data analyst but for these roles, companies generally prefer prior big data experience.
大数据中还有许多其他配置文件，比如数据科学家、数据分析师，但是对于这些角色，公司通常更喜欢以前的大数据经验.
Do Freshers Need to do Big Data Certification to get a job?
新生找工作需要做大数据认证吗？
What companies mostly look for in the interviews is a thorough knowledge of Big Data Hadoop, Spark, and above-mentioned topics both in terms of theory and practical aspect of the technologies. Candidates must have done 1-2 projects as well to further showcase their talent in big data.
公司在采访中主要寻找的是对大数据 Hadoop 、 Spark 和上述主题的全面了解，无论是在技术的理论还是实践方面.考生必须做到项目 1-2 个进一步展示他们在大数据方面的才华.
DataFlair certificate is industry renowned and accepted across the globe. This certificate helps you to develop your skills in Big Data technology and to show your expertise level in interviews. This certificate is sufficient to land your dream job that has been done by other candidates including fresher Aamer Aftab, who got a job as a Data Scientist in Germany as a fresher.
数据仓库证书在全球范围内享有盛誉并被接受.这份证书可以帮助你发展大数据技术技能，并在面试中展示你的专业水平.这份证书足以让你完成其他候选人包括新生所做的梦想工作Aamer Aftab 在德国找到了一份数据科学家的工作.
Job in Big Data vs Job in Other Technologies
大数据工作与其他技术工作
Now its high time to understand why you should go ahead with big data instead of other technologies as a fresher. Not only in terms of career growth, but Big Data has more opportunities in every aspect as it is the most flourishing and demanding technology. Each and every company demands Big Data experts currently and will require them even for the next 2-3 decades due to continuously increase in the size of data.
现在是时候理解为什么你应该以更新鲜的方式继续使用大数据而不是其他技术了.大数据不仅在职业发展方面，而且在各个方面都有更多的机会，因为它是最繁荣和最苛刻的技术.每家公司目前都需要大数据专家，由于数据规模的不断增加，甚至在未来 2-3 年内也需要他们.
Big Data professionals get a higher package as compared to other technologies due to more demand and less supply. There is a huge demand for Big Data Experts and very fewer candidates are available matching the demand of the companies due to which companies are ready to pay higher salaries to the deserving candidate. While the case is exactly the opposite for other technologies like Java, PL/SQL or any other. There is less demand and a very large number of candidates with good skills are available. So companies get experts at cheaper rates for these technologies.
与其他技术相比，大数据专业人员由于需求增加和供应减少而获得了更高的套餐.对大数据专家的需求很大，与公司需求相匹配的候选人非常少，因为公司准备向值得的候选人支付更高的工资.而对于 Java 、 PL/SQL 或任何其他技术来说，情况恰恰相反.需求较少，有非常多的具有良好技能的候选人.因此，对于这些技术，公司以更便宜的价格获得专家.
So what are you waiting for now?** Become Big Data expert** and grab the opportunity in Big Data field. Learn from industry experts at DataFlair and give a boost to your career.
你现在还在等什么？成为大数据专家 抓住大数据领域的机遇.向 DataFlair 的行业专家学习，为你的职业生涯提供助力.
Still, if you have any questions related to Job in Big Data as a fresher, you can freely ask in comments. We will definitely help you.
尽管如此，如果你有任何与大数据工作相关的问题，你可以在评论中自由提问.我们一定会帮你的
