Pre-Processing Data In Weather Monitoring Application By Using Big Data Quality Framework

In this research, we are working with Big Data for obtaining, preparing and analyzing data-based information to make use of the data retrieved which will benefit any organization. It is a progressing part of all divisions of industry and business. All organizations in any field, for example, oil, money, fabricating hardware and so forth produce big data, which can show incredibly helpful designs to business directors to make and develop their organizations, when the information is gathered and analyzed accurately. It permits us to gather, store, and decipher immense measures of big data to produce useful outcomes. Data quality is affected by the information that is gathered to be analyzed as that data will make sure whether in the long run a specific method of conducting the ongoing process is useful or not. Consequently, the consistency of big data very important. Here, we propose that the various types of raw information should be analyzed to expand its precision in the pre-handling stage, as those pieces of information are not utilized later in the process. During investments, we break down and model the big data to decrease overhead expenses to create and add to a solid understanding of results to improve information consistency.