What is Big data?
According to Gartner, the definition of Big data is as follows:
5 V’s or Characteristics of Big Data
As the data is growing at a fast speed, so the data’s volume will double in every two years. The flow of generating the data is massive and continuous.
The Data, which is generated in itself is of no use, unless we convert it into something valuable to exact the information. Hence, we can state that Value is one of the most important V in all the 5 V’s of Big Data.
Types of Big Data
Examples of Unstructured data are as follows:
- Text files,
- Audio files,
- Video files,
- Images, etc.
In Big Data, Unstructured data is of two types:
a. Machine-Generated Data
b. User-Generated Data
- Surveillance photos and video,
- Geographical Data,
- Meteorological Data,
- Weather Data,
- Oceanographic Data, etc.
The user-generated data includes the following examples:
- Data From Twitter, Facebook, LinkedIn,
- Mobile Data From locations and Text Messages,
- Websites Data From Youtube and Instagram
- Media Data From Chat, Phone Recording, IM,
This type of data lacks the rigid or fixed schema.
Examples of Semi-Structured Data are as follows:
- XML files,
- JSON files,
- CSV files, etc.
Applications of Big Data
Over the past decades, hospitals and clinics in the world the adopted the Electronic Health Record (EHR). EHRis the main application of big data in health care, which helps for improving patient care.
This technology helps the hospital staff to work more efficiently.
Various sensors are used beside patient beds for monitoring the heartbeat, blood pressure, and the respiratory rate. If there is any problem, then the sensors alerted to doctors and the administrators of healthcare.
3. Media & Entertainment
Big Data provides the new features for analyzing the public demand.
Big Data helps the companies and advertisers for better understanding the what type of ads consumers or viewers are willing to watch. Due to this, advertisers create the personalized ads, which helps in increasing the CTRs.
5. Education Sector
7. Disaster Management
Advantages of Big Data
Following are the various benefits or advantages of Big Data:
1. One of the biggest advantages of Big Data is fraud detection. It helps the banks and other financial institutions for detecting the fraud at that moment when it happens.
2. Another advantage of Big Data is that it is cost saving. The use of real-time applications may be expensive, but saves a lot of time in analyzing the data.
3. It also allows us to predict against the particular situations.
4. It helps in improving the science and research.
5. This technology helps in optimizing the business processes and helps the business in making more effective decisions.
6. Big Data provides the useful insights.
7. It can provide the information which is used for helping customers.
8. The tools of Big Data helps the analysts to analyze the information at a faster speed. Due to this, the production level is increased.
Disadvantages of Big Data
1. One of the disadvantages of big data is privacy and security.
2. Sometimes, the results of big data analysis mislead.
3. There is a lot of data which is unstructured.
4. There may be a shortage of talent in the Big Data sector for most businesses.