Big Data in Airline Industry and Analytics – Big data is a collection of data that has a very large volume or size consisting of structured, semi-structured, and unstructured data that can develop over time.
In big data it self, there are three characteristics or aspects which are usually called the Three Vs or three Vs. What is the Three Vs? The following is an explanation of Three V.
Big data is one of the topics that has emerged recently and is quite often discussed in various media. Currently, the world has entered the digital era and data has become one of the most important assets. Not a few large companies have invested in storing all their data.
The bigger the company, the data and information it has becomes very large. This is what is then referred to as big data. Want to know more about big data and its functions, and examples of its implementation? Keep reading the following article, OK?
What is Big Data ?
Big Data is a series of processes consisting of large volumes of data that are unstructured or structured and are used to support business activities. Big data itself is a form of development from a pre-existing database system.
The striking difference between big data and ordinary databases consists of the volume, speed, and types of data that are more varied than the Database Management System (DBMS) in general.
The definition of big data can actually be divided into 3 parts known as 3V. Well, here is the explanation.
1. Volumes
Big data has a very large data capacity. Processing large data is very possible to run. While veracity is a form of data justification. Data needs to be checked for quality through various sources. To connect between the data required the process. If there is no good relationship, it can trigger control that is out of control.
2. Variety
Big data has more data variations when compared to database systems such as SQL. Types of data that can be stored include traditional, unstructured and unstructured.
Video, audio, and text include data that must go through several stages before it can be processed in a database. The reason is, these incoming data have not been defined directly.
Apart from the 3V already explained, big data has another 2V, namely value and veracity. The value in big data is the flow of data that is irregular and consistent over several periods and conditions. If there is a large data spike, the memory resources used for processing will also be larger.
3. Velocity
Offsetting the large size, data transfer speed is also very stable and effective. Even big data is able to receive data in real time or directly because the speed is so high. This high speed is achieved because data is directed directly to memory instead of storing it on a disk.
An Insight Into Big Data in Airline Industry and Analytics, Complete
The role of data has become so important along with the phenomenon that is more popularly known as “big data”. Big data is a collection of data with an unusually large volume, collected from different sources, both structured and unstructured, to be analyzed and visualized by computer systems for patterns, trends and characteristics.
The results of analysis and processing of the data can be used for various purposes, ranging from business, security to assisting social interactions. Because of its volume and complexity, big data is not easy to process with ordinary database management systems and not with traditional data processing systems.
With significant computer technology breakthroughs in the form of hardware and software, such as data storage devices, memory, processors to computing system technology, as well as internet technology for data communication, it is not surprising that data quickly accumulates into big data.
This big data then needs to be analyzed with a variety of modern computational and analytical systems, such as data mining, artificial intelligence and other modern computing systems.
Processed data is not only to provide information, but also serves to increase profits and increase security for various types of industries and businesses. All major industries in the world have exploited big data to make their business more optimal, safe and profitable.
The aviation industry is no exception, this industry which is engaged in the transportation sector has used big data a lot to increase revenue, increase comfort and service for consumers, as well as optimize aviation safety features.
Consumer data, ticket information, logistics at the airport to data from weather forecasts have contributed to the formation of big data which can be used to optimize various business aspects in the aviation world. Revenue from various aviation industries can be obtained by predicting the number of passengers and reducing unnecessary operational costs.
Big Data Function
After you know what big data is and you also know the characteristics of big data itself, now let’s get into the function of big data. The following is a function of big data.
Big data can be used to predict or analyze the causes of a problem that occurs in the system. Utilization of big data can also minimize failures. The results of the analysis can be used and displayed in real time.
Big data can be a reference for developing a product. Information that is roughly needed will be stored in big data and the results of this analysis can be the basis for making the right decisions for business development.
Big data can reduce time and costs. By using big data data storage will reduce costs that must be incurred. In addition, the process of sending and receiving data can also be faster.
Big Data Functions
Big data has 4 important functions which will be explained below.
1. Make Decisions
Big data can also be combined with smart devices and systems such as the Internet of Things (IoT) and Artificial Intelligence (AI). Its function is to receive and provide data and information needed to develop a product.
For example, there is a smart city system that uses the help of AI and large-scale internet networks so that it can connect important points in cities, buildings, and other supporting infrastructure.
2. Save Cost and Time to Improve Application Performance
Data storage using a big data system can also reduce costs or costs that must be incurred by the company. The time required to operate and manage data is also shorter because the transfer process is very fast.
That way, improving application performance can be done properly. No wonder why so many companies use big data systems.
3. Detecting Anomalies in Business
Technical and non-technical disturbances are very likely to occur in a business. The function of big data itself is to detect anomalies or activities that stop and deviate precisely and quickly.
Furthermore, big data is also capable of planning and providing several options to overcome or reduce these anomalies. Of course, this process will take place very quickly so that the business activities of the organization and the company are not disrupted.
4. Determine the Cause of the Problem in Real Time
Big data is able to perform analysis and determine the cause of a problem that occurs in the system. Simultaneously, big data is also able to reduce the possibility of errors occurring in the data storage process. The results of this analysis can also be displayed directly.
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