Abstract

In airline environments, information is collected for archival and historical purposes from a wide variety of\nsources. This creates a repository of data that is, perhaps, the most valuable asset for an airline. However, the challenges of\nmanaging and extracting information to aid an airline is increasingly difficult to resolve due to customer centricity. In other\nwords, effective data analytics helps in analyzing the data of any business system. But it is the big data which helps and axial\nrates the process of analysis of data paving way for a success of any business intelligence system. With the expansion of the\nindustry, the data of the industry also expands. Then, it is increasingly difficult to handle huge amount of data that gets\ngenerated no matter what’s the business is like, range of fields from social media to finance, flight data. In this paper we uses\nan open source solution to handle such bigdata called hadoop which is used to gathered, stored, processed and analyzed it to\nturn the raw data information to support decision making. We can analyse the airlines data by apache hive and pig and also\ncompare the performance of these two.