What are the Components of Big Data?
Posted: Sun Dec 22, 2024 9:13 am
Big data consists of 5 main components.
Variety : Most of the data produced has different formats. Data coming from phones, tablets, computers, different operating systems or languages cause different formats to emerge.
Velocity : Increasing technological opportunities cause the saudi arabia mobile number list amount of data obtained, the number and variety of transactions to be performed to increase in the same way.
Volume : In the last 10 years, the amount of data has increased by more than 40 times, but the expenses for data storage have increased by 1.5 times. This situation reveals that a very good structure is required for the correct and efficient storage of the obtained data.
Verification : Another issue that has come to the fore in recent years regarding data has been data security and accuracy. Who will view the obtained data and under what conditions, and which of these data should remain confidential are issues that need to be carefully worked on.
Value : The most important component of big data is value. The data obtained and processed is meaningful as long as it adds value to the institution. Therefore, the correct construction of big data analysis and simulations and the benefit to the institution using big data should be considered as a priority.
Big data , if constructed and used correctly, provides significant benefits to companies in their decision-making processes and provides them with a competitive advantage. Companies that are aware of this situation benefit from big data in many areas such as marketing, sales, and production.
Variety : Most of the data produced has different formats. Data coming from phones, tablets, computers, different operating systems or languages cause different formats to emerge.
Velocity : Increasing technological opportunities cause the saudi arabia mobile number list amount of data obtained, the number and variety of transactions to be performed to increase in the same way.
Volume : In the last 10 years, the amount of data has increased by more than 40 times, but the expenses for data storage have increased by 1.5 times. This situation reveals that a very good structure is required for the correct and efficient storage of the obtained data.
Verification : Another issue that has come to the fore in recent years regarding data has been data security and accuracy. Who will view the obtained data and under what conditions, and which of these data should remain confidential are issues that need to be carefully worked on.
Value : The most important component of big data is value. The data obtained and processed is meaningful as long as it adds value to the institution. Therefore, the correct construction of big data analysis and simulations and the benefit to the institution using big data should be considered as a priority.
Big data , if constructed and used correctly, provides significant benefits to companies in their decision-making processes and provides them with a competitive advantage. Companies that are aware of this situation benefit from big data in many areas such as marketing, sales, and production.