017 Can a Fresher Get a Job in Big Data? – Big Data Career Opportunities for Freshers
譯者注: DataFlair 廣告貼，參考不大
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.
如果你是一個(gè)在大數(shù)據(jù)領(lǐng)域建立職業(yè)生涯的新人或想法，那么你就在正確的地方. 在你的腦海中可能會(huì)有一些與 Hadoop 職業(yè)相關(guān)的問(wèn)題，這就是你來(lái)到這里的原因. 因此，我們已經(jīng)回答了許多問(wèn)題，這些問(wèn)題將告訴你大數(shù)據(jù)職業(yè)生涯的每一件事.探索所有的問(wèn)題和答案 開(kāi)始為高薪工作學(xué)習(xí)大數(shù)據(jù). 那么從你腦海中必須循環(huán)的第一個(gè)問(wèn)題開(kāi)始.
Do Fresher Get a Job in Big Data?
職場(chǎng)新人 / 畢業(yè)生 在大數(shù)據(jù)方面有好的工作機(jī)會(huì)嗎？
Being a fresher, will I get a job in Big Data?
作為一名新生，我能在大數(shù)據(jù)領(lǐng)域找到一份工作嗎？
The answer to this question is a very big YES.
這個(gè)問(wèn)題的答案是一個(gè) 大寫(xiě)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.
無(wú)論是像大型機(jī)這樣的舊技術(shù)，還是 大數(shù)據(jù)等最新技術(shù). 這只是一個(gè)神話，公司只為大數(shù)據(jù)雇傭經(jīng)驗(yàn)豐富的專業(yè)人員. 所以在這篇文章中，我們將得到許多類似問(wèn)題的答案，比如 為什么大數(shù)據(jù), 大數(shù)據(jù)中有給新生的工作嗎，新生如何在大數(shù)據(jù)中找到工作，在大數(shù)據(jù)中找到工作所需的技能，大數(shù)據(jù)對(duì)新生有好處嗎, 為新生提供大數(shù)據(jù)工作和職業(yè)機(jī)會(huì)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，讓我們以更新鮮的姿態(tài)開(kāi)始大數(shù)據(jù)之旅. 讓我們從更新鮮的角度一步一步地回答每一個(gè)問(wèn)題:
Why Should I Learn Big Data?
我為什么要學(xué)習(xí)大數(shù)據(jù)？
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.
擺在你面前的最重要的問(wèn)題 開(kāi)始學(xué)習(xí)大數(shù)據(jù)你為什么要學(xué)習(xí)大數(shù)據(jù)？所以，這里是你的問(wèn)題的答案.
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.
根據(jù) “The Economist” -- 現(xiàn)在世界上最有價(jià)值的資源是大數(shù)據(jù)，不再是石油. 這也解釋了為什么要學(xué)習(xí)大數(shù)據(jù). 大數(shù)據(jù)不僅僅是一種技術(shù), 范式轉(zhuǎn)變. 所以，如果不是今天，明天你一定要學(xué)習(xí)這項(xiàng)技術(shù)，才能在 IT 行業(yè)生存下來(lái).
Every company will have big data in its future as, without big data analytics, companies are deaf and blind.
未來(lái)每家公司都將擁有大數(shù)據(jù) 如果沒(méi)有大數(shù)據(jù)分析，企業(yè)就會(huì)又聾又啞.
According to Forbes: The Hadoop market will reach almost $99B by 2022 at the CAGR of around 42%.
根據(jù)福布斯: 到 2022年，Hadoop 市場(chǎng)的復(fù)合年增長(zhǎng)率將達(dá)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.
所以對(duì)你來(lái)說(shuō)這是一個(gè)絕佳的機(jī)會(huì) 直接在大數(shù)據(jù)領(lǐng)域開(kāi)始你的職業(yè)生涯 而不是任何正在迅速過(guò)時(shí)的舊技術(shù). 不要把自己帶到公司會(huì)因?yàn)橹恢肋^(guò)時(shí)的技術(shù)而不是最新的技術(shù)而把你扔出去的地步. 在大數(shù)據(jù)領(lǐng)域開(kāi)始你的職業(yè)生涯，然后你會(huì)看到一個(gè)不斷增長(zhǎng)的職業(yè)曲線.
Do Companies Hire Freshers for Big Data?
大數(shù)據(jù)公司會(huì)招聘新人嗎？
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.
所以這個(gè)問(wèn)題的答案是 是的，是的，是的. 大數(shù)據(jù) Hadoop 領(lǐng)域的新生有許多職位空缺，你可以從下面的空缺中了解到這一點(diǎn).抓住這些工作的主要方法就是在簡(jiǎn)歷和面試中展示大數(shù)據(jù)人才.關(guān)于這一點(diǎn)，你將在這篇文章中進(jìn)一步學(xué)習(xí).
You must read the success story of Aparna (a fresher), how she got the job as Big Data Engineer
你必須閱讀 Aparna (一個(gè)新人) 的成功故事，她是如何獲得大數(shù)據(jù)工程師的工作的
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.
上面的圖片來(lái)自提供 Glassdoor 、 Indeed kri 等網(wǎng)站的頂級(jí)職位. 這表明，由于這種范式的轉(zhuǎn)變，公司正在尋找大數(shù)據(jù)人才，而其他技術(shù)專業(yè)人員則面臨巨大裁員.
What is the Salary of a Big Data Fresher?
大數(shù)據(jù)新生的工資是多少？
This is the second most important question that requires an answer before the big data journey begins.
這是大數(shù)據(jù)之旅開(kāi)始前需要回答的第二個(gè)最重要的問(wèn)題.
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.
新生的大數(shù)據(jù)工資一般在 4-9 LPA 根據(jù)公司、職位、位置等各種因素，最重要的是你的面試表現(xiàn)和你被錄用的職位等.這表明 與舊技術(shù)中的工作相比，Hadoop 更新鮮的工作報(bào)酬最高.
What are the Skills Required for Big Data Fresher Job?
大數(shù)據(jù)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.
這是確保你的工作和大數(shù)據(jù)更高包裝的最重要的問(wèn)題之一. 如果你有雇主要求的所需技能 沒(méi)有人能阻止你在大數(shù)據(jù)領(lǐng)域找到工作 非常好的套餐.
Prerequisites to Learn Hadoop
學(xué)習(xí) Hadoop 的先決條件
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.
招聘人員認(rèn)為基本 java 編程知識(shí)是相關(guān)的. 學(xué)習(xí)大數(shù)據(jù)的強(qiáng)烈熱情和興趣，以及具備基本 Java 知識(shí)的強(qiáng)大演示技能，肯定會(huì)給你一份大數(shù)據(jù)工作.
So, after having all the prerequisites, what next to get a job in Big Data?
那么，在具備了所有先決條件之后，接下來(lái)在大數(shù)據(jù)領(lǐng)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.
接下來(lái)是技術(shù)知識(shí). 大數(shù)據(jù)中的不同配置文件需要不同的技能，但是在申請(qǐng)大數(shù)據(jù)工作之前，你應(yīng)該知道的常見(jiàn)技術(shù)很少.最重要的人當(dāng)中有 Hadoop，Apache 的Spark，Pig，Hive，HBase 和 Yarn .讓自己不僅從理論角度，而且在這些技術(shù)方面成為專家** 獲得 Hadoop 面試電話的實(shí)踐知識(shí)和項(xiàng)目經(jīng)驗(yàn)**. Dataflair 在這里幫助你讓技術(shù)專家在面試中展示你的才華.
現(xiàn)在開(kāi)始學(xué)習(xí)大數(shù)據(jù)
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.
事實(shí)證明，如果你對(duì)這些技術(shù)有更深入的了解, 輕松搞定大數(shù)據(jù)工作 事實(shí)證明了這一點(diǎn)Shashank Yadav 在先見(jiàn)之明的健康集團(tuán)找到了一份大數(shù)據(jù)工程師的工作.
What are the Big Data Career Opportunities for Freshers?
新生的大數(shù)據(jù)職業(yè)機(jī)會(huì)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:
由于大數(shù)據(jù)是一個(gè)非常龐大的領(lǐng)域，大數(shù)據(jù)的新生可以扮演多種角色.您可以從以下提到的角色及其職責(zé)中選擇其中的任何角色:
Big Data Developer
大數(shù)據(jù)開(kāi)發(fā)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.
對(duì)于新生來(lái)說(shuō)，這是最苛刻的角色，這個(gè)角色有很多工作機(jī)會(huì).在這個(gè)領(lǐng)域找到一份工作，你需要從開(kāi)發(fā)人員的角度了解這項(xiàng)技術(shù)，并且必須對(duì)上述技能有實(shí)際的編碼知識(shí).
Big Data Admin
大數(shù)據(jù)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.
盡管與開(kāi)發(fā)人員配置文件相比，它的需求較少，但對(duì)于對(duì)編碼不感興趣的學(xué)生來(lái)說(shuō)，它也有許多職位空缺.通過(guò)學(xué)習(xí)如何安裝 Hadoop 、 Hadoop 配置和集群管理等概念，你可以開(kāi)始大數(shù)據(jù)管理員的職業(yè)生涯.這不需要編碼知識(shí).
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.
大數(shù)據(jù)中還有許多其他配置文件，比如數(shù)據(jù)科學(xué)家、數(shù)據(jù)分析師，但是對(duì)于這些角色，公司通常更喜歡以前的大數(shù)據(jù)經(jīng)驗(yàn).
Do Freshers Need to do Big Data Certification to get a job?
新生找工作需要做大數(shù)據(jù)認(rèn)證嗎？
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.
公司在采訪中主要尋找的是對(duì)大數(shù)據(jù) Hadoop 、 Spark 和上述主題的全面了解，無(wú)論是在技術(shù)的理論還是實(shí)踐方面.考生必須做到項(xiàng)目 1-2 個(gè)進(jìn)一步展示他們?cè)诖髷?shù)據(jù)方面的才華.
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.
數(shù)據(jù)倉(cāng)庫(kù)證書(shū)在全球范圍內(nèi)享有盛譽(yù)并被接受.這份證書(shū)可以幫助你發(fā)展大數(shù)據(jù)技術(shù)技能，并在面試中展示你的專業(yè)水平.這份證書(shū)足以讓你完成其他候選人包括新生所做的夢(mèng)想工作Aamer Aftab 在德國(guó)找到了一份數(shù)據(jù)科學(xué)家的工作.
Job in Big Data vs Job in Other Technologies
大數(shù)據(jù)工作與其他技術(shù)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.
現(xiàn)在是時(shí)候理解為什么你應(yīng)該以更新鮮的方式繼續(xù)使用大數(shù)據(jù)而不是其他技術(shù)了.大數(shù)據(jù)不僅在職業(yè)發(fā)展方面，而且在各個(gè)方面都有更多的機(jī)會(huì)，因?yàn)樗亲罘睒s和最苛刻的技術(shù).每家公司目前都需要大數(shù)據(jù)專家，由于數(shù)據(jù)規(guī)模的不斷增加，甚至在未來(lái) 2-3 年內(nèi)也需要他們.
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.
與其他技術(shù)相比，大數(shù)據(jù)專業(yè)人員由于需求增加和供應(yīng)減少而獲得了更高的套餐.對(duì)大數(shù)據(jù)專家的需求很大，與公司需求相匹配的候選人非常少，因?yàn)楣緶?zhǔn)備向值得的候選人支付更高的工資.而對(duì)于 Java 、 PL/SQL 或任何其他技術(shù)來(lái)說(shuō)，情況恰恰相反.需求較少，有非常多的具有良好技能的候選人.因此，對(duì)于這些技術(shù)，公司以更便宜的價(jià)格獲得專家.
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.
你現(xiàn)在還在等什么？成為大數(shù)據(jù)專家 抓住大數(shù)據(jù)領(lǐng)域的機(jī)遇.向 DataFlair 的行業(yè)專家學(xué)習(xí)，為你的職業(yè)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.
盡管如此，如果你有任何與大數(shù)據(jù)工作相關(guān)的問(wèn)題，你可以在評(píng)論中自由提問(wèn).我們一定會(huì)幫你的
