An Analytical Approach to Analyze Big Web Data

Abstract

The basic of this dissertation is all about the rise of "big data" and the use of analytics to storehouse the data. Big data is basically used to analyze a large amount of data. The Big data store a large amount of data and provide helpful information in an efficient manner leads a system to serious computational challenges, like to analyze, mixture, & store, where information are remotely collected. In the recent times, data warehousing, data repository, and data mining are mostly used for Bid data. Big data warehouse known as terabytes which mean data collect in the warehouse was terabytes in storage but in recent time it is petabytes, and the data built at a high speed. The progress in companies and organization is mainly because it stores and analyzes the data at greater levels and in greater details, as well as metadata, Web data, and code generated data, to build a better relationship between customer and market behavior. Big data provide helpful information to achieve a goal. A lot of companies in recent time use big data to improve their quality. The growth of big data increases at a higher speed in recent time, the even trend going in a coming year. Keywords: big data, data warehouse, a data repository.