5 Reasons to Learn Hadoop

Last updated on Nov 18,2022 148.7K Views

5 Reasons to Learn Hadoop

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Big Data and Hadoop skill could mean the difference between having your dream career and getting left behind. Dice has  quoted, “Technology professionals should be volunteering for Big Data projects, which makes them more valuable to their current employer and more marketable to other employers.”

1. Career with Hadoop:

According to a Forbes report of 2015, about 90% of global organizations report medium to high levels of investment in big data analytics, and about a third call their investments “very significant.” Most importantly, about two-thirds of respondents report that big data and analytics initiatives have had a significant, measurable impact on revenues.

Hadoop skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Hadoop and Big Data technologies.

Apache Hadoop provides you with means to ramp up your career and gives you the following advantages:

It is no rocket science that a career in Hadoop is very rewarding. Do want to have a accelerated and rewarding career in Hadoop? Click below to kick strt your career in Hadoop.

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Get Certified With Industry Level Projects & Fast Track Your Career

2. More Job Opportunities with Apache Hadoop:

Looking at the Big Data market forecast, it looks promising and the upward trend will keep progressing with time. Hence, the job trend or Market is not a short lived phenomenon as Big Data and its technologies are here to stay. Hadoop has the potential to improve job prospects whether you are a fresher or an experienced professional.

A research report by Avendus Capital estimates that the IT market for big data in India is hovering around $1.15 billion as 2015 comes to an end. This contributed to one fifth of India’s KPO market worth $5.6 billion. Also, The Hindu predicts that by end of 2018, India alone will face a shortage of close to two lakh Data Scientists. This presents a tremendous career and growth opportunity.

This skill gap in Big Data can be bridged through comprehensive learning of Apache Hadoop that enables professionals and freshers alike, to add the valuable Big Data skills to their profile.

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This is a perfect opportunity to take advantage of this positive trend and reap its benefits through appropriate learning of Hadoop.

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3. Look who is employing:

LinkedIn is the best place to get information on the number of existing Hadoop professional. The above info graph talks about the top companies employing Hadoop professionals and who is leading of them all. Yahoo! happens to be leading in this race.

4. Big Data and Hadoop equal Big Bucks!

Dice has quoted, “Technology professionals should be volunteering for Big Data projects, which makes them more valuable to their current employer and more marketable to other employers.

“Companies are betting big that harnessing data can play a major role in their competitive plans, and that is leading to high pay for critical skills,” said Shravan Goli, president of Dice, in a statement. The best way to become a Data Engineer is by getting the Data Engineering Certification in Washington

Alice Hill, managing director of Dice, tells Data Informed, that the postings for Hadoop jobs has gone up by 64%, compared to last year. And that Hadoop is the leader in the Big Data category of job postings. According to Dice, Hadoop pros made an average of $108,669 in 2013, which is slightly above the $106,542 average for Big Data jobs. Learn more about Big Data and its applications from the Data Engineering course.

5. Top Hadoop Technology Companies:

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Still wondering if Hadoop is the best choice for you? Don’t trust anyone. Be the Judge. Watch a Hadoop tutorial and decide for yourself if Hadoop is the way to go for you.

Got a question for us? Do mention them in the comments section and we will get back to you.

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