

{"id":51522,"date":"2019-03-06T17:59:09","date_gmt":"2019-03-06T12:29:09","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=51522"},"modified":"2021-08-25T22:32:39","modified_gmt":"2021-08-25T17:02:39","slug":"future-of-hadoop","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/future-of-hadoop\/","title":{"rendered":"What is the Future of Hadoop? Expert Predictions for Hadoop"},"content":{"rendered":"<p>As<strong> Big Data is the new buzz word<\/strong> today, Hadoop is increasingly gaining popularity in all the realms of this world. Many of you are thinking about the future of Hadoop. So, today you will see experts&#8217; predictions about the future of Hadoop.<\/p>\n<p>The businesses today are more focused on customers. Customer care is about personalized service while working with different modes of consumer interaction. Hadoop solves complex challenges faced by businesses. Overcoming the shortcomings of traditional data approaches Hadoop is increasingly becoming common big data technology.<\/p>\n<p>So, before exploring the future of Hadoop, know what exactly Hadoop is.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-77461\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop.jpg\" alt=\"future of hadoop\" width=\"802\" height=\"420\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop.jpg 802w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/future-of-hadoop-520x272.jpg 520w\" sizes=\"auto, (max-width: 802px) 100vw, 802px\" \/><\/a><\/p>\n<h3>What is Hadoop?<\/h3>\n<p><em>Hadoop is a Big Data technology<\/em> that enables distributed storage and computing of data. It provides a robust and cost-effective data storage system. <a href=\"https:\/\/data-flair.training\/blogs\/features-of-hadoop-and-design-principles\/\"><strong>Hadoop with unique features<\/strong><\/a> like scalability, fault tolerance has become a favorite of many businesses. Hadoop with its complete ecosystem is a solution to big data problems. Various components of the Hadoop ecosystem like TEZ, Mahout, Storm, MapReduce and so on provide for big data analytics. Organizations use Hadoop for big data crunching. Hadoop provides all that they need under one umbrella. Hadoop overcomes the shortcomings in the traditional RDBMS system. Also, it is cheaper than the conventional system. Hence the Hadoop market is growing day by day and so the future of Hadoop is very bright.<\/p>\n<h3>Major Industries Adopting Hadoop<\/h3>\n<p>The study indicated that Hadoop has good market prospects in many industry verticals. With the advent of the digital age, we are dealing with the data explosion. As we progress ahead in time new technologies are emerging. This is again contributing to the pool of data. Under such circumstances, Hadoop has emerged as an unprecedented solution for holding and processing massive amounts of data. The below image shows how the Hadoop market distributes across different industry verticals.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-51564\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1.jpg\" alt=\"Future of Hadoop\" width=\"950\" height=\"329\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1.jpg 950w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1-150x52.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1-300x104.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1-768x266.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/hadoop-market-1-520x180.jpg 520w\" sizes=\"auto, (max-width: 950px) 100vw, 950px\" \/><\/a><\/p>\n<p>As we can see from the above image no industry is left behind from being a part of the Hadoop market. Right from banking, telecom, e-commerce, health care to government, media, transportation all have <strong>Hadoop applications<\/strong> running on them. As the world is realizing the <strong>benefit of data analytics<\/strong> to their business, the adoption of Hadoop is increasing exponentially.<\/p>\n<p>The reason behind the growing Hadoop market is that Hadoop provides cheap and fast data analytics. Also, Hadoop has evolved to be better and better since its inception. Although there are many big data technologies coming like Spark and Flink. But the Hadoop as remained in place as a provider of robust big data storage. Spark and Flink do not have their own storage they depend on Hadoop for that. It is mandated to <a href=\"https:\/\/data-flair.training\/big-data-hadoop\/\"><strong>learn Hadoop<\/strong><\/a> as it is one of the first big data technology. It forms the basis of all the inventions in big data.<\/p>\n<h3>Hadoop Applications in Different Sectors<\/h3>\n<p>Let us now explore <strong>how Hadoop is helping businesses<\/strong>\u00a0to solve their problems. There are many end-users who are applying Hadoop for their day to day business needs. We discuss some of them below:-<\/p>\n<h4>a. Banking Sector<\/h4>\n<p>A study in top 10 investment and retail banks showed that the challenges faced by then are:-<\/p>\n<ul>\n<li>Card fraud detection<\/li>\n<li>Tick analytics<\/li>\n<li>Archival of audits trail<\/li>\n<li>Enterprise credit risk reporting<\/li>\n<li>Social analytics for trading<\/li>\n<\/ul>\n<p>Retail traders, big banks and other fund management companies use Hadoop for pre-trade decision-support analytics, sentiment measurement, predictive analytics, etc.<\/p>\n<h4>b. Communication, Media and Entertainment<\/h4>\n<p>The challenges faced by media, communication and entertainment industry are:-<\/p>\n<ul>\n<li>The collection, analyzing consumer data for insights<\/li>\n<li>Finding patterns in real-time media usage<\/li>\n<li>Leveraging social media and mobile content<\/li>\n<\/ul>\n<p>Companies in this industry analyze customer behavioral data to create a detailed customer profile. They use Hadoop to<strong> create content for different target audiences<\/strong>, recommend content on demand and so on.<\/p>\n<h4>c. Healthcare Providers<\/h4>\n<p>The challenges faced by the healthcare sector are:-<\/p>\n<ul>\n<li>Excluding patients from decision making.<\/li>\n<li>Use of data from different sensors.<\/li>\n<\/ul>\n<p>The <em><strong>University of Florida<\/strong><\/em> uses public health data and Google maps. And they visualize data and used it in tracking the spread of chronic disease.<\/p>\n<h4>d. Education<\/h4>\n<p>The <strong>big data challenge<\/strong> in the field of education is to integrate data from various sources. They have to collect data from different platforms and different vendors.<\/p>\n<p>The education sector uses big data analytics quite significantly. An <strong>Australian university<\/strong> has <strong>more than 26000 students.<\/strong> They have deployed learning and management system. With big data technology, they track how many students log into the system. How much time they spend on each page. And what is the progress of the student over time?<\/p>\n<p>Another <a href=\"https:\/\/data-flair.training\/blogs\/big-data-use-cases-case-studies-hadoop-spark-flink\/\"><strong>application of big data<\/strong><\/a> in the education sector is tracking the efficiency of teachers. Teachers&#8217; performance can be fine-tuned and measured against subject matter, number of students, student aspirations and so on.<\/p>\n<h2>Hadoop Job Predictions<\/h2>\n<p><a href=\"https:\/\/www.ibm.com\/in-en\/\"><strong>IBM<\/strong><\/a> predicts that the<strong> demand for data scientists<\/strong> will soar<strong> 28% by 2025<\/strong>.<\/p>\n<p>Finance, insurance, and IT industry <strong>demand 59%<\/strong> of all data scientists&#8217; jobs. The insurance and finance industry alone requires<strong> 19%<\/strong> of the data scientist job. Professional service and IT industry follow them with<strong> 18% and 17%<\/strong> data scientist job demand. The below graph shows the distribution of data scientist jobs by industry.<a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-51565\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1.jpg\" alt=\"Future of Hadoop\" width=\"960\" height=\"484\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1.jpg 960w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1-150x76.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1-300x151.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1-768x387.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/DSA-Demand-by-industry-1-520x262.jpg 520w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/a>MapReduce, Apache Hadoop, Apache Hive, Apache Pig and Machine Learning constitute the most lucrative skills. Professionals with <a href=\"https:\/\/data-flair.training\/blogs\/hadoop-mapreduce-tutorial\/\"><strong>MapReduce<\/strong><\/a> skill make<strong> $115,907<\/strong> annually on average making it the most in-demand skill. IT professionals with Pig, Hive, and Hadoop skills are competing for <strong>jobs paying over $100K per year<\/strong>.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/average-salaries-for-different-skills.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-77465\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/average-salaries-for-different-skills.jpg\" alt=\"average salaries for different skills\" width=\"532\" height=\"568\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/average-salaries-for-different-skills.jpg 532w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/average-salaries-for-different-skills-140x150.jpg 140w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/average-salaries-for-different-skills-281x300.jpg 281w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/average-salaries-for-different-skills-520x555.jpg 520w\" sizes=\"auto, (max-width: 532px) 100vw, 532px\" \/><\/a>Data Science, Big Data and Machine Learning skills are a challenge to recruit for. Also, they create potential disruption to ongoing product development and go-to-market strategies if the positions are not filled. There are serious conditions for companies investing in these areas. They are a high cost to hire, a strong need for the training program and high risk to future productivity.<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-51560\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills.jpg\" alt=\"Future of Hadoop\" width=\"960\" height=\"803\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills.jpg 960w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills-150x125.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills-300x251.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills-768x642.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/Combined-graphic-of-skills-520x435.jpg 520w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/a><\/p>\n<p>Image Source &#8211; <a href=\"https:\/\/www.ibm.com\/\">IBM<\/a><\/p>\n<p>So, this is the right time to <a href=\"https:\/\/data-flair.training\/big-data-hadoop\/\"><strong>start learning Hadoop<\/strong><\/a> and improve your skills to get a high paying job in Hadoop and Big Data.<\/p>\n<h2>Salary of Hadoop Techies<\/h2>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-77466\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data.jpg\" alt=\"salary-other technologies vs big data - future in hadoop\" width=\"700\" height=\"466\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data.jpg 700w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data-150x100.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data-300x200.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data-520x346.jpg 520w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2019\/03\/salary-other-technologies-vs-big-data-272x182.jpg 272w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><\/a>One cannot talk about big data without them mention of Hadoop. Hadoop is a very eminent big data technology. Firms are increasingly using Hadoop for solving their business problems. With this, the demand for Hadoop professionals has increased. But there are not enough <strong>Hadoop experts<\/strong> to fill in the demand. There is a gap between the requirement of Hadoop skill and the actual skilled people present. Hence the <strong>pay package for the Hadoop professional is more<\/strong> than other skills in the industry. The below graph proves exactly this.<\/p>\n<p>According to <strong>Dice analysis<\/strong>, jobs that require Hadoop skills pay-off well. But to land with a good paycheck, one needs the right blend of certification and experience. The average annual salary of <strong>entry-level big data Hadoop developers in the USA is $112687<\/strong>. The majority of entry-level Hadoop developer annual salary range between <strong>$85000 to $140000 across the USA<\/strong>. In India alone, the entry-level Hadoop developer is making an average of <strong>$112,687<\/strong>.<\/p>\n<p>In 2021, there is going to be a lot of investment in the big data industry. This will lead to an increase in<a href=\"https:\/\/data-flair.training\/blogs\/big-data-hadoop-job-opportunities\/\"> <strong>job opportunities in Hadoop<\/strong><\/a>. This means people who know Hadoop would expect better salaries and more job options. Looking from the business point of view also the usage of Hadoop will rise. This is because more and more firms will get into this technology to improve their business to gain insights from data and to increase their revenues. Thus big data analysis using Hadoop will play an important role in the upcoming years.<\/p>\n<h2>Summary<\/h2>\n<p>As far as prediction goes <strong>big data trend<\/strong> is going to stretch across the globe. Picking up skills with open source tools like Hadoop, Spark, Kafka, Flink one can land with promising big data jobs. The best<em>\u00a0way to launch your career in big data i<\/em>s undergoing through <a href=\"https:\/\/data-flair.training\/big-data-hadoop\/\"><strong>Hadoop developer or administrator training<\/strong><\/a>. Based on what job role you want for yourself, you can pick up the training for you. You may never know learning Hadoop could be a big career move for you.<\/p>\n<p>I hope you got all the required information for the future of Hadoop. This is the right time to pick a course and start learning Big Data and Hadoop. If you need any help with making a career in Hadoop, comment below. We will definitely help you. For more, you can check &#8211; <strong><a href=\"https:\/\/data-flair.training\/blogs\/why-hadoop\/\">11 reasons why you should learn Hadoop now<\/a><\/strong>.<\/p>\n<p>Keep Learning!!<span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:1626,&quot;href&quot;:&quot;https:\\\/\\\/www.ibm.com\\\/in-en&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251209141934\\\/https:\\\/\\\/www.ibm.com\\\/in-en&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-12 23:39:08&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-16 04:20:13&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-19 05:18:42&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-22 08:51:52&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-26 03:19:46&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-31 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