N/APosted on - 11/12/2014
Big data is one of the upcoming software trends predicted for the coming years .With reference to this please explain what is Big data? On what factors is it characterized? How are major enterprises using Big data to improve their decision making capabilities? In comparison, what is small data? Small data is important for which segment of customers?
The relevance of Big data in the future
How are you? Big data does not have an intended purpose other than data mining. For this reason, the data takes a long time to clean and processed by the machine learning algorithms. The data scientist lets the machine do all the work to come up with relationships in the data structures. The uses different algorithms to verify the findings. On the other hand, small data are collected with an intended purpose for analysis. It is a sample size that is determined by the data scientist that is collected answers the at hand. With Small data, there is control of the data. It is ready and conditioned for analysis once the data is collected. Data complexity and cleaning processes are the main difference between Big data and Small data.