Future of Hadoop – Salaries & Job Predictions in Big Data Analysis
Grab the knowledge about the future of the irreplaceable framework, Apache Hadoop.
Without Big Data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway. – by Geoffrey Moore, an American Management Consultant and Author.
In this article, we will see the future of Hadoop in big data analytics. The article shows the experts predict related to job opportunities in Hadoop. You will also see the list of Companies adopting Hadoop and different domains like financial sectors, health-care sectors using Hadoop.
The article enlists the various job profiles offered under Big Data Hadoop.
Let us first see the rise in Big Data that makes Companies adopt Hadoop.
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Rising Big Data
Predictions say that by 2025, 463 exabytes of data will be created each day globally which is equivalent to 212,765,957 DVDs per day!
Each day 500 million tweets, 294 billion emails are sent, 4 petabytes of data are created on Facebook, 4 terabytes of data are created from each connected car, 65 billion messages are sent on WhatsApp, and many more. Thus, in 2020, every person is generating 1.7 megabytes in just a second.
Can you imagine that every day we are generating 2.5 quintillion bytes of data!!
These Big Data without information is meaningless. Startups and Fortune 500 companies are embracing Big Data for achieving exponential growth.
Organizations have now realized the benefits of Big Data analytics, which helped them in gaining business insights, which enhances their decision-making capabilities.
It has been predicted that the Big Data market, by 2023, hits $103B.
In 2020, the amount of global data sphere subject to data analysis will grow to 40 zettabytes, according to the predictions.
The traditional databases are not capable enough to handle and analyze such a large volume of unstructured data. Companies are adopting Hadoop to analyze Big Data.
Let us now see what exactly Hadoop is and why the need for Hadoop arose, before exploring the future of Hadoop.
What is Hadoop, and Why its need arose?
With the rise of the Big Data world, there arose a need for flawless systems that can process, parse, store, and retrieve such rising Big Data. The traditional databases are not capable enough to store the data generated in current times from heterogeneous sources. Also, they are not capable of fastly processing these vast amounts of data.
Hadoop comes out like a light in the world of Big Data Analytics.
In 2008, Apache Software Foundation developed Hadoop as an open-source software framework for storing and processing vast amounts of data. It has enormous processing power along with the capability to parallelly process and handle an unlimited number of tasks/jobs.
Because of Hadoop’s unique features, such as its ability to store large data, its fast processing powers, fault tolerance, scalability, and cost-effectiveness, captivate Companies to adopt Hadoop. Also, Hadoop is not a single word; it is a complete ecosystem know as Hadoop Ecosystem that brings an additional point for Hadoop to be used by Organizations for crunching big data. Hadoop provides all that they need under one umbrella.
Thus the Hadoop market is growing day by day and having a bright future ahead.
Future Scope of Hadoop
As per the Forbes report, the Hadoop and the Big Data market will reach $99.31B in 2022 attaining a 28.5% CAGR.
The below image describes the size of Hadoop and Big Data Market worldwide form 2017 to 2022.
Image Source – Forbes
From the above image, we can easily see the rise in Hadoop and the big data market. Thus learning Hadoop is the milestone for boosting career in IT sectors as well as in many other domains.
Companies using Hadoop
The research indicates that Hadoop has good market prospects in many industries. With the arrival of the digital universe, we are dealing with the data explosion. As time passes, new technologies are continuously emerging, contributing a pool of data.
Hadoop has emerged as a pioneering solution for processing and storing large amounts of data. The Hadoop market distributed across different industry verticals.
We can say that no industry is abandoned from being a part of the Hadoop market. From Computing IT sector industries to industries like hospitals and health-care, education, finance, telecommunication, retail, etc. all have Hadoop applications running on them. With the realization of the advantages of big data analysis, the adoption of Hadoop is increasingly exponentially.
Image Source – enlyft
The above image shows the distribution of companies using Hadoop country wise. The United States is the main utilizer of Hadoop technology.
The reason for the growing Hadoop market is its cost-effectiveness, high availability, fault tolerance, and fast data analytics.
Even though there are many other Big Data Analysis tools like Apache Spark, Flink, etc. are evolving to deal with Big Data challenges, but no one can replace Hadoop in upcoming years as they do not have their own storage, they depend on Hadoop for that.
Even after more than 20 years, probably still, there will be no technology that aligns with the advent of Big Data than Hadoop.
Big Data and Hadoop in Different Domains
Let us now see how Hadoop is helping businesses to solve their problems and in which different domains Hadoop applications are being run.
a. Banking and Finance Sector
The banking and Finance industries face some of the challenges like card frauds, tick analytics, archival of audit trail, enterprise credit risk reporting, etc. They use Hadoop to get an early warning for security fraud and trade visibility. They use Hadoop to transform and analyze customer data for better insights, pre-trade decision-support analytics, etc.
b. Communication, Media and Entertainment
The communication, media, and entertainment industries face some challenges like collecting and analyzing consumer data for insights, finding patterns in real-time media usage, using social media, and mobile content. Using Hadoop, these companies analyze customers’ data for better insights, create content for different target audiences.
For example, Wimbledon Championships uses big data to deliver detailed sentiment analysis on the tennis matches to users in real-time.
c. Healthcare Providers
The Healthcare sectors by using Hadoop analyzes the unstructured format of data that includes patient history, disease case histories. This helps them to effectively treat the patients effectively based on previous case histories. Also, by identifying the disease that is common in a particular area, precautions can be taken, and medicines can be made available to those areas.
The University of Florida uses free public health data and Google Maps to visualize data that allows for faster identifying the spread of chronic disease.
The education sector uses big data significantly. A University of Tasmania having 26000 students has deployed LMS(Learning Management System) that tracks the log time, how much time students spend on different pages and overall progress of the student over time.
There are various government schemes that are in execution and are generating data tremendously. The Food and Drug Administration(FDA) is using Big Data to detect and study the patterns of food-related diseases, allowing for faster treatment responses
Job Predictions in Big Data Analysis
By 2023, the big data analytics market will reach $103 billion as per the predictions. IBM predicts that the demand for the data scientist will soar 28%.
Over 97.2% of organizations are investing in big data and AI.
As per the PwC report, by 2022, in the US only there will be around 2.7 million job vacancies for data analytics and data science. The largest companies like Cisco, Dell, EY, IBM, Google, Siemens, Twitter, OCBC bank, are looking for Hadoop professionals to process and profit from the sea of available data.
Especially in the finance industry, the insurance industry and IT industries demand 59% of all data scientists’ jobs.
Image Source – indeed
As per the recent IBM report, Data Science and Data Analytics professionals which are having MapReduce skills are earning $115,907 a year on average, making MapReduce the most in-demand skill. Data science and analytics professionals with expertise in Apache Hadoop, Hive, and Pig are competing for jobs paying over $100K.
Salaries and job titles for Big Data Analytics
The average annual salary in the UK is £66,250-£66,750 for Hadoop jobs and $92,512 to $102,679 for Hadoop developers, as per Indeed.
There are various job profiles that fall for the person having relevant skills in Hadoop. Some of them are:
Hadoop Administrator sets up a Hadoop cluster and monitors it with monitoring tools. It keeps track of cluster connectivity and security.
The salary offered is between INR 10-15 LPA.
Hadoop Architect is the one who plans and designs the Big Data Hadoop architecture. He creates requirement analysis and manages development and deployment across Hadoop applications. The offered salary range is between INR 9-11 LPA.
Big Data Analyst
Big Data Analyst analyses big data for evaluating companies technical performance and giving recommendations on system enhancement. They execute big data processes like text annotation, parsing, filtering enrichment. The preformed salary is INR 7-10 LPA.
The main task of the Hadoop developer is to develop Hadoop technologies using Java, HQL, and scripting languages. The Offered salary is between INR 5-10 LPA depending on the job profiles in India.
The Hadoop tester test for errors and bugs and fixes the bugs. He makes sure that the MapReduce jobs, HiveQL scripts, and Pig Latin scripts work properly. The salary of Hadoop Tester is between INR 5-10 LPA.
I hope after reading this article, you are now well aware of the future of Hadoop. No technology even after 20 years will replace Apache Hadoop. Thus a person who is looking for his career in the field which never becomes out of fashion, Hadoop is the best choice for them.
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