Main Article Content
Abstract
The concept of big data includes analysing capacious data to extract valuable information. In the textile world, big data is increasingly playing a part in trend estimating, analysing consumer performance, preference. The purpose of this paper is to introduce the term textile data and why it can be considered as big data. It also gives a broad classification of the types of textile data and briefly defines them. Also, the methodology and working of a system that will use this data is briefly described. Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data. This approach can be utilized for analysing the information relating to spinning, weavingand chemical processing in the manufacturing industry of towels or cheddar’ssector. This segment will definitely enhance the value addition in technological development and interpretation to solve the problems of the process. Even than very negligent researches are available in this field but it’s a lastly growing field and smartly utilized in the textile sector.