In an era where almost everything that we do revolves around a device, there is an enormous amount of data that has been generated by digital sources.
With traditional data processing tools, we have faced many challenges when analyzing and analyzing such an enormous volume of data. Several big data solutions have been introduced, including Hadoop to meet these challenges. Hadoop tools have helped big data reach its full potential.
Big data applications are being used by more and more organizations, both large and small. These applications can help businesses grow quickly.
The Real-Time Big Data Applications in Various Domains are as follows:
- Big Data in Education Industry
There is a flood of data in the education industry regarding students, faculty, courses, results, and so on. We have realized that with proper study and analysis of this data we can gain valuable insights that can be used to improve the efficiency of educational institutions and their functioning.
These are a few areas where big data-driven changes have had a major impact on the education industry:
- Dynamic and customized learning programs
Using the data collected from each student’s learning history, customized programs and schemes can be created to benefit individual students. This enhances student performance.
- Reframe course materials
A course can be reframed based on data collected on what a student learns and to what extent by real-time monitoring of the components of the course.
- The Grading System
A proper analysis of student data has led to advancements in grading systems.
- Predictions for the future
Understanding a student’s progress, abilities, weaknesses, interests, and more can only be determined with serious analysis and study of their records. Furthermore, it is a useful tool to determine what career the student would be most suitable for in the future.
As a result of e-learning solutions, big data has provided a solution to one of the biggest pitfalls in the education system, that is, the one-size-fits-all fashion of academic setup.
- Example
A large number of students and data are associated with the University of Alabama. It used to seem that some of them were useless because there were no real solutions for analyzing so much data in the past. Analysts and data visualizations allow administrators to understand patterns in this data so that they can optimize recruiting and retention efforts, streamline operations and better understand student behavior.
2. Big Data in Healthcare Industry
Healthcare is certainly another industry that generates a large amount of data. In healthcare, some of the benefits are:
- A treatment using big data is less expensive since there are fewer chances of having to perform unnecessary tests.
- Forecasting epidemics makes it possible to decide what preventive measures can be taken to minimize the effects of the epidemic.
- It helps prevent diseases by detecting them in their earliest stages, enabling us to take prevention measures. As a result, their treatment becomes easier and more effective since they do not get any worse.
- Evidence-based medicine is provided to patients after past medical results are researched and identified.
- Example
Sensors and wearable devices have been introduced to the healthcare industry that can feed real-time data into a patient’s electronic health record. An example is Apple.
In addition to HealthKit and CareKit, Apple has also developed ResearchKit. iPhone owners will be able to access their real-time health records via their phones.
3. Big Data in Government Sector
The government of any country deals with a lot of data almost every day. Several records and databases have to be maintained, such as the citizens’ data, the growth of the city, the energy resources, the geographical survey, and many others. These all contribute to big data. This data, when properly studied and analyzed, helps governments in vast ways. They include the following:
- Welfare Schemes
- Decisions about political programs can be made faster and with more information
- when immediate action needs to be taken
- Keep track of all existing land and livestock in the field of agriculture.
- Among other things, to combat unemployment, terrorism, and energy resource exploration.
- Cyber Security
- Big Data is widely used for fraud detection.
- It is also used to catch tax evaders.
- Example
FDA, a government agency in the USA whose jurisdiction covers food safety, leverages big data analysis to discover patterns and associations about foodborne illnesses.
4. Big Data in Media and Entertainment Industry
The phenomenon of big data is mainly because people are using various digital gadgets and this has allowed them to generate a large amount of data.
A large quantity of data is also generated by social media platforms. Even so, media companies and entertainment companies can benefit from this data for their growth thanks to their understanding of how it can be used.
- Below are a few benefits of big data to the entertainment and media industries:
- Predicting the audience’s interests
- Optimized or on-demand scheduling of digital media streams
- to receive insights from customer reviews
- Personalized advertising
- Example
To provide personal music recommendations and suggestions, Spotify, an on-demand music service, collects, analyses, and presents data from all its users around the globe.In addition to offering videos, music, and books all in one place, Amazon Prime uses a lot of big data for its marketing efforts.
5. Big Data in Weather Patterns
Satellites and sensors are deployed all over the world. They collect a large amount of data, which is then used to monitor the weather and the environment.
There are multiple ways to use big data collected from these sensors and satellites, including:
- Forecasting the weather
- based on global warming
- can help you understand natural disaster patterns
- regarding water availability
- Example
Through a research project, IBM Deep Thunder uses large data sets to forecast weather. In addition to improving weather forecasts for natural disasters, IBM is also helping to predict power outages before they occur.
6. Big Data in Transportation Industry
Transportation has been made more efficient and straightforward by using big data since its rise. Listed below are some of how big data makes transportation easier.
- Route planning: Big data can be utilized to understand and estimate users’ travel needs along different routes and routes using multiple modes of transportation so that their wait time can be reduced.
- Congestion management and traffic control: Using big data, it is now possible to estimate traffic patterns and congestion in real-time. Google Maps can be used to find the least busy routes, for example.
- The level of traffic: Detecting accident-prone areas using real-time data processing and predictive analysis may help to reduce accidents and increase traffic safety.
- Example
For our example, let’s use Uber. Uber collects and uses a large amount of data about drivers, their vehicles, their locations, and every trip they make. We analyze all of this data and then use it to predict supply, demand, the location of drivers, and the fares for each trip.
This application is also something we use when we plan our routes based on the knowledge that we have taken the same route in the past. By using the data that we had previously gathered due to our experience, we made a smart decision by analyzing and utilizing it. In addition to huge fields, big data has played a role in many small and everyday decisions as well.
7. Big Data in Banking Sector
Banks are generating enormous amounts of data every second. By the end of the next year, this data is expected to grow 700 percent, according to GDC’s forecast. The analysis and study of this data can help detect any illegal activities, such as:
- Credit/debit card misuse
- Venture credit hazard management
- business clarity
- Customer statistics alteration
- Money laundering
- Risk mitigation
- Example
In detecting suspicious transactions and analyzing customer data, SAS AML, as well as other anti-money laundering software, uses data analytics. SAS AML has been part of the Bank of America’s development process for over 25 years.
8. Big Data in Marketing
As a result of one-to-one interactions with customers, traditional marketing techniques depended on surveys and market research. Advertisements ran in newspapers, on television channels, on radio stations, and roadside banners. Advertisers were unaware of the impact their ads had on customers.
Digital marketing also evolved with the internet and big data technologies. The advent of big data has enabled companies to collect huge amounts of data and understand their customers’ choices in a matter of seconds. Marketing analysts analyze data to run campaigns, increase click-through rates, put relevant advertisements, improve products, and cover the nuances to reach the desired target.
Amazon, for instance, collects data about purchases made by millions worldwide. By analyzing the purchase patterns and payment methods of the customers, they were able to design new offers and advertisements.
9. Big Data in Business Insights
In modern industries, generating business insights is among the best uses of Big Data. Sixty percent of all data collected by various enterprises and social media platforms are either unstructured or not analyzed. With the correct analysis, this data can address a variety of problems related to product development, profits, and customer satisfaction.
According to Netflix, one of their companies uses big data to understand the behavior of the users, what type of content they enjoy, what movies are popular on the website, what similar content the user might enjoy, and what series or movies they should invest in.
10. Big Data in Space Sector
Throughout the day, different space agencies from around the world collect huge amounts of data from outer space observation, astronauts studying outer space, and rovers on other planets. Before launching the actual payload in space, they analyze petabytes of data and simulate the flight path accordingly. Launching any rocket requires extensive simulations that take climate, payload, orbit location, trajectory, and other factors into account.
For NASA’s upcoming mission, they are collecting data from a variety of satellites and rovers about the geography, atmospheric conditions, and other factors of mars. Using big data manages all that data and analyzes it to run simulations.
Conclusion
The following key takeaways can be obtained from looking at 10 industry verticals, including how Big Data plays a role in them:
- Big Data has attracted substantial real spending.
- Capitalizing on Big Data opportunities.
- Industry expertise and visibility are key to effectively utilizing Big Data.
It’s easy to see why big data is getting so much attention, given all the uses. It is not how much data an organization has been able to collect that matters, but how they are using the data. Some solutions can analyze big data easily and efficiently. The solutions in this category are used by almost every type of industry to make use of the increasing amount of data.
BIBLIOGRAPHY
1.https://intellipaat.com/blog/10-big-data-examples-application-of-big-data-in-real-life/
2. https://www.simplilearn.com/tutorials/big-data-tutorial/big-data-applications