The increase in the delays of flight has become the major problem in today’s aviation industry. This led to loss of time and money and eventually causing more inconvenience to the passengers. This paper work recommended the solutions of the above problem using comparative study with help of R programming tool. This paper focuses to evaluate the industrial progression and cause of incovenience to the automated aviation industry. Big Data covers the entire aviation industry to improve the efficiency of functioning using techniques like Data Acquisition System, Data Curation and Hadoop process and algorithms like K-Means Clustering and Logistic Regression. Even though the technology and digitalization has become advanced, there is a dire requirement of improvement in the aviation industry as the delay of flights in this industry is very frequent and leads to time consumption of the people and sometimes it may lead to accidents, thus leading to air traffic. Technological Big Data is one such area which helps in the improvement of the service of aerospace to the travelers and aviation too. The scope of this project is confined to departure and arrival time management of the flights prior to big data and after introduction of big data and also to understand the maintenance of usage of machinery.