What is the Future of Hadoop? We asked the experts

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.

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.

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.

d. Education

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.

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.

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