Big Data is a name which is given for data sets which are huge or complex. Because of it, the process of traditional data makes the application software is insufficient to overcome that problem.
The challenges for the data processing application are analyzing, storaging, sharing, searching, transferring, updating data and setting information privacy.
The Big Data term itself, often relates to the implementation of the predictive analysis and consumer behavior analysis. Moreover, it also relates to the certain analysis methods of advanced data which remove the values of data to the specific size of the data set.
In nowadays, the data which have been analyzed are able to discover new connections to the place of business style, combat crime, avoid disease, and other things which exist recently. Here, some people such as scientists, medical practitioners, business executives, and governments usually encounter the obstacles with huge data sets.
Those difficulties include finance, internet search, and urban or business information. Besides, the limitations scale in the e-Science work, becomes the thing which scientists often encounter. In addition, that likewise includes meteorology, genomics, connectomics, biology, and the research of environmental.
Big Data includes the data sets which exceed the normal ability. It also generally uses software tool to manage and to process the data within acceptable elapsed time.
Big Data also needs some ways and technologies in implementing its work. Moreover, it comes with the integration new forms to expose the sight from datasets which are distinct, complex, and massive as well.
In 2001, META group described the challenges of data growth and the opportunities into a three-dimensional thing which is called three Vs. The volume, which is the scale of data, the velocity, which is the speed of data in and out, and the variety, which is the variation of data types and data sources.
Until now, the definition of 3Vs or three-dimensional thing is still globally used. In addition, the new V which is called veracity is given by many organizations to give more explanation.
Characteristics of Big Data
Big Data can be elaborated by some typical characteristics. The first is the volume, it defines the amount of the generated data and the stored data. The scale of data, decides some values and promising sight either it should be considered as Big Data or not. The next is variety, which is the types and the world of data.
This thing assists people who will analyze the data to be effectively utilized for the insight result. The velocity, the speed rate at generating data and processed data which encounter the demands and lie in the sector of growth and development. And the last is veracity, which is the quality of gathered data can be different and affect accurate analysis.
