What is Big Data and How It Is Different From the Traditional Data?
In this world where everything is so digitalized, new technologies are being constantly developed and the existing ones are seeing advancements in regular intervals. Such technologies help individuals or organizations solving various issues that are being ignored for a long time because of the lack of perfect solutions or resources. Data storage is one of such issues that has been there for a long time as an issue for organizations, whether small or big.
Talking about the two data types; traditional data and big data, well, they are dissimilar to each other in all aspects. Traditional database systems completely depend on structured data. This means that traditional data is stored in a fixed format. Big Data, on the other hand, use unstructured and semi-structured data. It helps in improving the variety of gathered data from different sources, like that of, audience, customers, or subscribers. In simple terms, big data is not about size, but the use of the data and how you’re going to do that.
Today when it is all about adapting the change, people are finding big data easier than the traditional one. Where traditional data takes a heavy amount of time to complete a process and kills the efficiency, big data is quick, effective, and high on demand. Let’s now have a look at some of the important factors that differentiate both types of data.
The Difference Between Big Data and Traditional Data
- Data Relationship
In the case of the traditional database system, it is relatively easier to go through all data as well as information without any trouble. However, when it comes to big data - since, it contains massive data, the difficulty level in figuring out the relationship between data items increases.
- Scale-Out Storage Systems and Data Storage Size
Unlike the traditional way where data was stored on disk drives or conventional tapes, big data is based on scale-out storage systems that are software-defined. However, it is important to know that not all big data requires modern storage platforms.
Coming on to the storage size, well, it is impossible for traditional data to store huge amount of data as there is a limit which ranges from gigabytes to terabytes. Big data, on the other hand, is known to store huge amount of data easily. It can store hundreds of terabytes, petabytes, and whatnot.
- Accuracy and Confidentiality
In the case of traditional data, it is quite difficult to maintain confidentiality and accuracy. This is because the quality of data remains quite high and besides, it is expensive to store such a huge amount of data. As a result of this, data analyzing gets affected, and hence, decreases accuracy and confidentiality. However, when it comes to big data, the entire work becomes simpler and stress-free. Not just this, the big data provides complete confidentiality and the high accuracy making the results more accurate.
What Traits Give Big Data The Upper Hand?
The difference between both big data and traditional data cannot be just defined on the basis of the size, but also how the data can be used and deployed. There are a number of factors that make big data the most preferred choice of users. These are:
- Better Analyzing
- More Flexible
- Fast and Easy Process
- A Simple Way to Store
- High-End Quality
- Machine Learning
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Make sure you strive to achieve these features in your Big Data. If any of them is missing, then you are not making the most of your data. To get a better understanding of Big Data, you can consider taking professional guidance. Auxesis Infotech is one of the leading web design and development agency. Our expertise also lies in Big Data and API Management and we would be happy to give you some assistance regarding this topic.