So let\u2019s understand why the industry is running behind Big Data<\/strong>.<\/p>\n Let\u2019s discuss what experts<\/strong> say about Big Data:<\/em><\/p>\n \u201cMost valuable resource on the planet is no longer oil but Big Data\u201d<\/em> – The Economist<\/strong><\/p>\n \u201cBig Data is not just a technology, it\u2019s a paradigm shift\u201d <\/em>–<\/em> IBM<\/strong><\/p>\n \u201cThe Hadoop market will reach $99B by 2022 with a CAGR of 42%\u201d – <\/em>Forbes<\/strong><\/p>\n \u201cMore than 77% of companies consider Big Data a top priority\u201d –<\/em> Peer Research<\/strong><\/p>\n As stated by IBM<\/strong>, \u201cBig Data is a paradigm shift.\u201d If not today, everyone has to shift towards Big Data tomorrow, as there is no alternative for Big Data, while there are multiple alternatives available for Java, like Scala, Python, C#, Ruby, etc.<\/p>\n Java is the most popular programming language, BUT what’s next after Java?<\/strong><\/em><\/p>\n All the Java professionals are seeking the answer to this question; even freshers are very cautious about the technology, they prefer the latest cutting-edge technology<\/strong> rather than any old obsolete technology.<\/p>\n The answer to this million-dollar question is Big Data<\/em>. Let\u2019s understand why a Java professional should move to Big Data.\u00a0<\/strong><\/p>\n If you are from a Java background, then you must explore why you should move from Java to Big Data –<\/p>\n With the increasing size of data every day, it has become necessary to analyze this data and gain useful insights. This has urged every other company to use big data for different analyses of their data and customer behavior for better prospects and for the company’s growth.<\/p>\n This has created a huge number of big data jobs across the globe,<\/strong> and as seen above, Java is the must-have language for big data<\/em>. So, if you are already working in Java, it’s high time for you to switch to big data for better career prospects.<\/p>\n Although it\u2019s been almost a decade since the Big Data word was coined, it entered the mainstream IT a few years ago, so the good news is: it\u2019s still evolving.<\/p>\n You can encash this opportunity, start a career in big data<\/strong> with a high pay scale<\/strong> before the crowd enters. It\u2019s a matter of a couple of years before there will be tons of professionals readily available in this field.<\/p>\n Employers are hunting big data professionals and are ready to pay at a very high pay scale. Almost every organization has started working in big data, so there is a dearth of big data professionals in the market.<\/p>\n Many professionals working in different fields are learning big data technologies to capitalize on this market demand. But still, there is a huge gap between industry demand and the availability of trained professionals.<\/p>\n Ginny Rometty, IBM CEO, <\/strong>speaks on the lack of skilled professionals in the IT sector. She says, “IT employees lack the required skill sets.”<\/strong><\/em><\/p>\n Also, she said,<\/em> “You have got to believe in a few different things than I think you believed in the past. One is to believe that skills are perhaps more important than a degree.”<\/p>\n Source – Economic Times<\/p>\n So, in filling this huge gap between industry demands and the availability of skilled professionals, DataFlair<\/strong> plays an important role.<\/p>\n Payscale in Big Data is one of the highest<\/strong>; one reason is the gap between demand and supply. On the other hand, Java professionals are readily available, so the pay scale is quite low.<\/p>\n According to Indeed,<\/strong> \u201cThe average salary of Big Data Hadoop developers today is $135k,<\/strong>\u201d and companies are ready to pay even higher to a Java Hadoop Developer<\/strong><\/em>.<\/p>\n As we know, the IT market is pretty volatile, technologies are changing, and you need to upgrade yourself to stay in the competition.<\/p>\n Many of the older technologies, such as mainframes, have become obsolete; now, mainframe professionals have also become obsolete and are being laid off. To sustain in the industry, you must be aware of the market trends and, based on the requirements, keep upgrading yourself.<\/p>\n Big Data is the most trending technology in the IT field; you can have a secure future in it. Use your Java skills smartly and switch to the Big Data world, like Shuchi, who made the right career choice and switched from Java to Big Data.<\/strong><\/p>\n Nowadays, IT professionals are very cautious about the current market conditions; they are shifting from older technologies to the latest technologies to stay in the competition. Even freshers are also aware of the market; rather than starting their career in older fields, they prefer the latest and upcoming fields like Big Data and Hadoop.<\/p>\n Big Data isn’t limited to just one type of project. As a Big Data professional, you could be involved in a wide range of projects, such as:<\/p>\n For the last few years, companies have been laying off mid-range experienced professionals; if you are working in an obsolete field, you could be on the same radar.<\/p>\n Even the technocrats who became tech-managers are also being fired. According to research, the reason for these layoffs is the paradigm shift and digital transformation, due to which older technologies are becoming obsolete.<\/p>\nReasons Why You Should Move to Big Data?<\/h3>\n
Big Data is still a Top Niche<\/h4>\n
Skill Gap<\/h3>\n
![\"Skill](\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/IBM-CEO-Statement-1.png-1.png\")
<\/a><\/p>\nBig Data Payscale<\/h3>\n
Big Data – The Need of the Hour<\/h3>\n
Stay Ahead of the Competition<\/h3>\n
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Layoffs are Commonplace in IT<\/h3>\n