What is the Future of Hadoop? Expert Predictions for Hadoop
As Big Data is the new buzz word 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 prediction about the future of Hadoop.
The businesses today are more focused on customers. Customer care is about personalizing 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.
So, before exploring the future of Hadoop, know what exactly Hadoop is.
1. What is Hadoop?
Hadoop is a Big Data technology that enables distributed storage and computing of data. It provides a robust and cost-effective data storage system. Hadoop with unique features 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 Hadoop ecosystem like TEZ, Mahout, Storm, MapReduce and so on provide for big data analytics. Organizations use Hadoop for big data crunching. As Hadoop provides all what they need under one umbrella. Hadoop overcomes the shortcomings in 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.
2. Major Industries Adopting Hadoop
The study indicated that Hadoop has good market prospects in many industry verticals. With the advent of the digital age, we are dealing with 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. Below image shows how the Hadoop market distributes across different industry verticals.
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 Hadoop applications running on them. As the world is realizing the benefit of data analytics to their business, the adoption of Hadoop is increasing exponentially.
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 learn Hadoop as it is one of the first big data technology. It forms the basis of all the inventions in big data.
3. Hadoop Applications in Different Sectors
Let us now explore how Hadoop is helping business to 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:-
a. Banking Sector
A study in top 10 investment and retail banks showed that the challenges faced by then are:-
- Card fraud detection
- Tick analytics
- Archival of audits trail
- Enterprise credit risk reporting
- Social analytics for trading
Retail traders, big banks and other fund management companies use Hadoop for pre-trade decision support analytics, sentiment measurement, predictive analytics etc.
b. Communication, Media and Entertainment
The challenges faced by media, communication and entertainment industry are:-
- The collection, analyzing consumer data for insights
- Finding patterns in real-time media usage
- Leveraging social media and mobile content
Companies in this industry analyze customer behavioral data to create a detailed customer profile. They use Hadoop to create content for different target audiences, recommend content on demand and so on.
c. Healthcare Providers
The challenges faced by the healthcare sector are:-
- Excluding patients from decision making.
- Use of data from different sensors.
The University of Florida uses public health data and Google maps. And they visualize data and used it in tracking the spread of chronic disease.
The big data challenge in the field of education is to integrate data from various sources. They have to collect data from different platforms and different vendors.
Education sector uses big data analytics quite significantly. An Australian university has more than 26000 students. 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?
Another application of big data in the education sector is tracking the efficiency of teachers. Teachers performance can be fine-tuned and measured against subject matter, number of students, student aspirations and so on.
4. Hadoop Job Predictions
IBM predicts that the demand for data scientist will soar 28% by 2020.
a. Finance, insurance, and IT industry demand 59% of all data scientists job. Insurance and finance industry alone requires 19% of the data scientist job. Professional service and IT industry follow them with 18% and 17% data scientist job demand. The below graph shows the distribution of data scientist job by industry.
b. MapReduce, Apache Hadoop, Apache Hive, Apache Pig and Machine Learning constitutes the most lucrative skills. Professionals with MapReduce skill make $115,907 annually on an average making it most in-demand skill. IT professionals with Pig, Hive and Hadoop skill are competing for jobs paying over $100K per year.
c. 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.
So, this is the right time to start learning Hadoop and improve your skills to get a high paying job in Hadoop and Big Data.
5. Salary of Hadoop Techies
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 professional has increased. But there are not enough Hadoop experts to fill in the demand. There is a gap between the requirement of Hadoop skill and the actual skilled people present. Hence the pay package for the Hadoop professional is more than other skills in the industry. The below graph proves exactly this.
According to Dice analysis, jobs that require Hadoop skills pay-off well. But to land with a good paycheck, one needs a right blend of certification and experience. The average annual salary of entry-level big data Hadoop developer in the USA is $112687. The majority of entry-level Hadoop developer annual salary range between $85000 to $140000 across the USA. In India alone, the entry-level Hadoop developer is making an average of $112,687.
In 2019, there is going to be a lot of investment in big data industry. This will lead to an increase in job opportunity in Hadoop. 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.
6. Summary – Future of Hadoop
As far as prediction goes big data trend 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. Best way to launch your career in big data is undergoing through Hadoop developer or administrator training. 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.
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 for making a career in Hadoop, comment below. We will definitely help you. For more, you can check – 11 reasons why you should learn Hadoop now.