Top 12 Real Time Big Data Hadoop Applications

In this article, you will study various applications of hadoop. The article enlists real-time use cases of Apache Hadoop. Hadoop technology is used by many companies belonging to different domains. The article covers some of the top applications of Apache Hadoop.

Apache Hadoop Applications

Let us see hadoop use cases in various sectors.

1. Finance sectors

Financial organizations use hadoop for fraud detection and prevention. They use Apache Hadoop for reducing risk, identifying rogue traders, analyzing fraud patterns. Hadoop helps them to precisely target their marketing campaigns on the basis of customer segmentation.

Hadoop helps financial agencies to improve customer satisfaction. Credit card companies also use Apache Hadoop for finding out the exact customer for their product.

2. Security and Law Enforcement

The USA national security agency uses Hadoop in order to prevent terrorist attacks and to detect and prevent cyber-attacks. Big Data tools are used by the Police forces for catching criminals and even predicting criminal activity. Hadoop is used by different public sector fields such as defense, intelligence, research, cybersecurity, etc.

3. Companies use Hadoop for understanding customers requirements

The most important application of Hadoop is understanding Customer’ requirements.

Different companies such as finance, telecom use Hadoop for finding out the customer’s requirement by examining a big amount of data and discovering useful information from these vast amounts of data. By understanding customers behaviors, organizations can improve their sales.

4. Hadoop Applications in Retail industry

Retailers both online and offline use Hadoop for improving their sales. Many e-commerce companies use Hadoop for keeping track of the products bought together by the customers. On the basis of this, they provide suggestions to the customer to buy the other product when the customer is trying to buy one of the relevant products from that group.
For example, when a customer tries to buy a mobile phone, then it suggests a customer for the mobile back cover, screen guard.

Also, Hadoop helps retailers to customize their stocks based on the predictions that came from different sources such as Google search, social media websites, etc. Based on these predictions retailers can make the best decision which helps them to improve their business and maximize their profits.

5. Real-time analysis of customers data

Hadoop can analyze customer data in real-time. It can track clickstream data as it’s for storing and processing high volumes of clickstream data. When a visitor visits a website, then Hadoop can capture information like from where the visitor originated before reaching a particular website, the search used for landing on the website.

Hadoop can also grab data about the other webpages in which the visitor shows interest, time spent by the visitor on each page, etc. This is the analysis of website performance and user engagement.

Enterprises of all types, by implementing Hadoop perform clickstream analysis for optimizing the user-path, predicting the next product to buy, carrying out market basket analysis, etc.

6. Uses of Hadoop in Government sectors

The government uses Hadoop for the country, states, and cities development by analyzing vast amounts of data.

For example,they use Hadoop for managing traffic in the streets, for the development of smart cities, or for improving transportation in the city.

7. Hadoop Uses in Advertisements Targeting Platforms

Advertisements Targeting Platforms use hadoop for capturing and analyzing clickstream, video, transaction, and social media data. They analyze the data generated by various social media websites such as Facebook, Twitter, Instagram, etc. and then target their interested audience.

They keep on posting advertisements on various social media sites to the target audience. Hadoop also find use in managing content, images, posts, videos on social media platforms.

8. Businesses use Hadoop for sentiment analysis

Hadoop can capture data and perform analysis of the sentiment data. Sentiment data are the unstructured bits of data, such as attitudes, opinions, and emotions which you mostly see on social media platforms, blogs, customer support interactions, online product reviews, etc.

Analysis of Sentiment data is very crucial for enterprises to understand how their customers and target audience feel about their services, products. It helps organizations to discover their competitors and reputation in the market.

This sentiment analysis provides organizations a heads-up about changes that need to be made in product distribution, production, and promotion.

9. Hadoop Applications in Financial Trading and Forecasting

Hadoop also finds use in the trading field. It has various complex algorithms that scan markets with some predefined conditions and criteria for finding out trading opportunities. It can work without any human interaction.

No human is needed for monitoring things. Apache Hadoop is used in high-frequency trading. Most of the trading decisions are taken by algorithm only.

10. Hadoop applications in improving Personal Quantification

Hadoop can be used for improving personal life. It provides many ways for improving our day to day life by monitoring the whole daily routine, sleep pattern, diet plan of healthy people.

By discovering conclusions from all these patterns, It helps us to improve our lives. Apart from it, many dating sites use Hadoop for finding out people with common interests. This helps people to find their true love.

11. Healthcare sectors

Hadoop plays a vital role in health care sectors for improving public health. It analyzes huge volumes of data from medical devices, lab results, doctor’s notes, clinical data, imaging reports, etc,  to provide support to health care sectors to treat their patients efficiently. Hadoop, on the basis of this analysis, deduces facts that can be used in medicine for improving public health.

12. Optimizing machine performance

We use Hadoop for optimizing the performance of machines. Mechanical fields are developing self-driving cars. These self-driving cars have powerful sensors, GPS, camera, etc. These automatic cars do not require any driver. Apache Hadoop is playing a very big role in this field.

Summary

In short, we can say that no field is left where Hadoop does not find applications. Hadoop has many applications in almost every domain. Hadoop has contributed a lot to the modernization of the digital universe.

Various Hadoop applications include stream processing, fraud detection, and prevention, content management, risk management. Financial sectors, healthcare sector, Government agencies, Retailers, Financial trading and Forecasting, etc. all are using Hadoop.

Businesses and enterprises are adopting Hadoop to get feedback about their products, understand customers’ requirements, improving their customer satisfaction, etc.

Do you know any other application of Hadoop? Do share in the comment section.