- Published: November 15, 2021
- Updated: November 15, 2021
- University / College: Dalhousie University
- Language: English
- Downloads: 19
Big data is ahuge set of data -both structuredand unstructured, that are complex and voluminous that traditional dataprocessing software’s are unable to make use of them.
Old times people usedRelational Database Management Software’s(RDBMS). The data were brought to the software for processing. Butnow the volume of data hiked a lot. Like the name says, Big Data plays asignificant role in reducing the wastage of data as well as increasing the qualityof the products.
It’s good for government, consumers and for the businesses. Let’ssee why Big data is important. The increase of the storagecapacity, processing power and the availability of data makes the big data’sgrowth rapidly. As we know, there are mainly three characteristics for big dataor else known as the 3V’s: Volume, Variety, Velocity.
These are the dimensionsthat make Big Data unique. Volume refers to the enormous space that generatedand processed data is acquiring. Variety on the other hand refers to thedifferent types of data including both structured and unstructured. While Velocityrefers to the speed at which data is generated, processed and stored. So why BigData matters? Themain three reasons why Big Data matters is, New data, unlocking value andShaping the future.
A huge amount of data is generated in every second. And thebest part is all are unknown data that can be refined to get the best data, which is money. A good example is e-commerce sites capturing data through clickstream. It aims at predicting the best products for the customers in future through thehuman purchase process. The second reason is unlocking the value, where thedata is unveiled to get the exact data. This is performed by analysing thedatabase transactions and submitting report model prints. Example is conductinga survey. Third reason is Modeling the future through predictive analysis (lookinganswers for questions).
It also helps to anticipate people’s preferences throughrecommendations. A good example is Amazon books, where they use basic principlesof Graph theory to recommend books. There are certain facts thatprevent an organisation from adopting Big Data solutions and amongst them thefirst one is Data diversity. A lot of data with variety of formats and withdifferent constraints are available
