002 為什么學(xué)習(xí)大數(shù)據(jù)和 Hadoop-學(xué)習(xí) Hadoop 的首要原因

002 Why Learn Big Data And Hadoop – Top Reasons To Learn Hadoop

1. Objective – Why Learn Big Data

1. 目標(biāo)--為什么要學(xué)習(xí)大數(shù)據(jù)

Today, we will see why do we learn Big Data and Hadoop. Moreover, while looking at the reasons we will discuss how Big data and Hadoop helps us in our career. Also, we will discuss the salaries while looking at the advantages to learn Big Data and Hadoop.

今天我們來看看為什么我們要學(xué)習(xí)大數(shù)據(jù),Hadoop.此外,我們將討論大數(shù)據(jù)和 Hadoop 在我們的職業(yè)生涯中如何幫助我們.此外慈迈,我們將在研究學(xué)習(xí)大數(shù)據(jù)和 Hadoop 的優(yōu)勢的同時討論薪酬問題.

So, let’s start the tutorial – why learn Big Data and Hadoop.

那么值桩,讓我們開始學(xué)習(xí)大數(shù)據(jù)和 Hadoop 的教程吧.

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Why Learn Big Data And Hadoop – Top Reasons To Learn Hadoop

2. What is Big Data?

2. 什么大的數(shù)據(jù)螟加?

Big data provides answers to queries that many organizations failed to even recognize they’d within the initial place. Big data helps organizations determine new opportunities and explore new avenues. Once big data is effectively gathered, and expeditiously analyzed, firms will gain an additional comprehensive understanding of their business, products, customers, and competitors.

大數(shù)據(jù)為許多組織在最初的地方甚至沒有意識到的問題提供了答案.大數(shù)據(jù)幫助組織確定新的機(jī)會,探索新的途徑.一旦有效收集并迅速分析大數(shù)據(jù)梆掸,企業(yè)將對其業(yè)務(wù)解寝、產(chǎn)品驼仪、客戶和競爭對手有更全面的了解.

Recommended Reading – Best Big Data Analytics Tools

推薦閱讀-最佳大數(shù)據(jù)分析工具

Big data technologies like Hadoop and cloud-based analytics additionally facilitate important price reduction, improve business potency and drive client satisfaction through higher understanding. Every company utilizes data, in a way or the opposite. The additional expeditiously a company uses its data, the additional potential it’s to thrive.

此外已脓,Hadoop 和基于云的分析等大數(shù)據(jù)技術(shù)還有助于降低重要的價(jià)格珊楼,提高業(yè)務(wù)效力,并通過更高的理解來提高客戶滿意度.每家公司都以某種方式或相反的方式利用數(shù)據(jù).公司使用數(shù)據(jù)的速度越快摆舟,公司發(fā)展的潛力就越大.

What is Big Data and Hadoop

Big Data not only helps the user to enhance their skills but it also helps the large as well as small firms to grow.

大數(shù)據(jù)不僅可以幫助用戶提高技能亥曹,還可以幫助大公司和小公司發(fā)展.

3. Reasons to Learn Big Data and Hadoop

3. 原因?qū)W習(xí) Hadoop 大數(shù)據(jù)

So, let’s take a look at the important reasons why learn Big Data and Hadoop –

那么邓了,我們來看看學(xué)習(xí)大數(shù)據(jù)和 Hadoop 的重要原因 --

i. Exponential Growth of Big Data Market

I. 數(shù)據(jù)市場指數(shù)增長

As mentioned earlier, the Big Data market is predicted to grow exponentially across the world and it shows no signs of swiftness down within the long haul. In step with NASSCOM, the Indian Big Data analytics sector is expected to grow to achieve USD 16billion by 2025 from the present level of USD 2billion. With increasing penetration of sensible devices at intervals villages and remote areas, the Big Data data revolution can still surge.

如前所述恨诱,大數(shù)據(jù)市場預(yù)計(jì)將在全球呈指數(shù)級增長,從長遠(yuǎn)來看骗炉,沒有任何快速下降的跡象.與 NASSCOM 合作照宝,印度大數(shù)據(jù)分析部門預(yù)計(jì)到 2025年將從目前的 160億美元增長到美元.隨著智能設(shè)備在鄉(xiāng)村和偏遠(yuǎn)地區(qū)的滲透率越來越高,大數(shù)據(jù)數(shù)據(jù)革命仍然可能激增.

Why learn Big Data – Growth of Big Data

What do you know about the Big Data Applications

大數(shù)據(jù)應(yīng)用你了解多少

ii. Numerous Organizations are Gaining Information about Big Data

Ii.許多組織正在獲取關(guān)于大數(shù)據(jù)的信息

As market competition stiffens, additional and additional organizations are progressively adopting big data and Hadoop technologies to spot new market opportunities. Most of the leading organizations think about big data analytics an essential part of business performance. Resultantly, big data and Hadoop professionals are about to have a major say on company policies and selling ways.

隨著市場競爭的加劇句葵,越來越多的企業(yè)正在逐步采用大數(shù)據(jù)和 Hadoop 技術(shù)來尋找新的市場機(jī)會.大多數(shù)領(lǐng)先的組織都認(rèn)為大數(shù)據(jù)分析是業(yè)務(wù)績效的重要組成部分.結(jié)果是厕鹃,大數(shù)據(jù)和 Hadoop 專業(yè)人員將在公司政策和銷售方式上擁有重大發(fā)言權(quán).

iii. Better Career Opportunities

Iii.更好的職業(yè)機(jī)會

One of the foremost necessary and motivating reasons to be told big data and Hadoop is that the indisputable fact that it brings an array of opportunities to bolster your career to an unprecedented level. As additional and additional firms inter-communicate big data, they’re progressively searching for specialists who will interpret and use data. This creates nice career opportunities for big data professionals creating big data and Hadoop an apt talent to be told to require advantage of the time.

被告知大數(shù)據(jù)和 Hadoop 的一個最重要的必要和激勵的原因是,它為你的職業(yè)生涯帶來了一系列前所未有的機(jī)會乍丈,這是不爭的事實(shí).隨著越來越多的公司相互交流大數(shù)據(jù)剂碴,他們正在逐步尋找解釋和使用數(shù)據(jù)的專家.這為大數(shù)據(jù)專業(yè)人員創(chuàng)造了很好的職業(yè)機(jī)會,他們創(chuàng)建了大數(shù)據(jù)和 Hadoop轻专,這是一名 apt 人才忆矛,需要利用時間.

Learn Big Data for Big Data Career Opportunities

iv. Higher Salaries

四、薪資較高

It is no secret that the Big data and Hadoop talent pool are shallow. With the growing demand, the provision of pros with these specific talent sets remains low. The gap between demand and therefore the adequate offer of accomplished professionals is increasing a day.

大數(shù)據(jù)和 Hadoop 人才庫淺化已經(jīng)不是什么秘密了.隨著需求的增長,這些特定人才的專業(yè)人員數(shù)量仍然很低.需求之間的差距催训,因此洽议,有成就的專業(yè)人員的充分提供日益增加.

Must Read – Careers and Job Roles in Big Data

必須閱讀-大數(shù)據(jù)的職業(yè)和工作角色

Higher Salaries in Big Data

v. Big data is Omnipresent

大數(shù)據(jù)無處不在.

From politics to sports, you can not deny the presence of big data. Healthcare organizations leverage big data to supply additional personalized identification and prescriptions, prognostic analysis of diseases and plenty of alternative services. Whereas sports team utilizes big data analytics to scout for players UN agency best suit their necessities. Therefore, if you learn Big Data and Hadoop, you’ll be able to match anyplace and everyplace.

從政治到體育,都不能否認(rèn)大數(shù)據(jù)的存在.醫(yī)療保健組織利用大數(shù)據(jù)提供額外的個性化識別和處方漫拭、疾病的預(yù)后分析以及大量的替代服務(wù).然而亚兄,體育團(tuán)隊(duì)利用大數(shù)據(jù)分析來尋找最適合他們需求的球員.因此,如果你學(xué)習(xí)了大數(shù)據(jù)和 Hadoop采驻,你就可以匹配任何地方和任何地方.

vi. Freelancing Opportunities

六审胚、自由職業(yè)機(jī)會

As we have a tendency to advance in time, a big majority of the men prefers to not be tied to only one leader. Professionals are steady eyeing suggests that to diversify their sources of financial gain and ways in order that they will notice the right work-life balance. Given the expansion and therefore the nature of the work, Big Data and Hadoop create as potential domains to supply well-paying freelance opportunities for a few of the most important corporations within the world

由于我們有及時前進(jìn)的趨勢,大多數(shù)人不喜歡只和一個領(lǐng)導(dǎo)人聯(lián)系在一起.專業(yè)人士正穩(wěn)步關(guān)注這一問題礼旅,這表明菲盾,為了注意到正確的工作和生活平衡,他們應(yīng)該將經(jīng)濟(jì)收益來源和方式多樣化.鑒于這項(xiàng)工作的擴(kuò)展和性質(zhì)各淀,大數(shù)據(jù)和 Hadoop 創(chuàng)造了潛在的領(lǐng)域懒鉴,為世界上一些最重要的公司提供高薪的自由職業(yè)機(jī)會

So, this was all about why learn Big Data and Hadoop. Hope you like our explanation.

這就是為什么要學(xué)習(xí)大數(shù)據(jù)和 Hadoop.希望你喜歡我們的解釋

4. Conclusion – Learn Big Data

結(jié)論 4. 學(xué)大數(shù)據(jù)

If one is searching for employment within the big data industry, or an existing worker who desires to upgrade their talent and negotiate for an improved position, or somebody eager to strengthen their talent set and improve their CVs, a web Hadoop certification will get your dreams nearer to you. It nourishes the abilities of a person in rich, interactive surroundings to develop the skills. You’ll be able to do way more than sit and hear a lecture.

如果一個人在大數(shù)據(jù)行業(yè)尋找工作,或者一個現(xiàn)有的工人希望升級他們的人才碎浇,并談判改善職位, 或者有人渴望加強(qiáng)他們的天賦并改進(jìn)他們的簡歷临谱,web Hadoop 認(rèn)證將讓你的夢想離你更近.它滋養(yǎng)一個人在豐富、互動的環(huán)境中發(fā)展技能的能力.你能做的不僅僅是坐下來聽講座.

Hence, in this Big Data tutorial, we discussed the reasons to learn Big Data and Hadoop. Moreover, we looked at the salary and market growth of Big Data. Also, we discussed the point for Big data career opportunities. Still, if you have any query regarding why to learn Big Data and Hadoop, ask in the comment tab.

因此奴璃,在這個大數(shù)據(jù)教程中悉默,我們討論了學(xué)習(xí)大數(shù)據(jù)和 Hadoop 的原因.而且我們看了一下大數(shù)據(jù)的薪酬和市場增長情況.此外,我們還討論了大數(shù)據(jù)職業(yè)機(jī)會的要點(diǎn).盡管如此苟穆,如果你對為什么學(xué)習(xí)大數(shù)據(jù)和 Hadoop 有任何疑問抄课,請?jiān)谠u論標(biāo)簽中提問.

https://data-flair.training/blogs/learn-big-data-hadoop

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