• Mr.Vivek M. Kumbhare
• Sachin A. Murab
• Parag D. Thakare
• Aniruddha.A. Kolpyakwar

Big data based data acquisition as well as database system plays an important role in the design of corporate data platform. Mostly big data frameworks have been integrated data compression and data serialization method. These methods cannot meet the importance of corporate production information management for requiring time-consuming and mass storage. Based on the existing big data frameworks, we propose an enhanced corporate big data platform in order to reduce the data processing time while requiring fewer data storage space. Specifically, focuses on evaluating the impact of multiple compression and serialization methods on the big data platform performance and tries to choose optimal compression and serialization method for the corporate data platform. Compared to the methods integrated in the past years, the experimental results showed the data compression time of the platform has been reduced by 73.9% with a less than 96% the size of data compressed, furthermore, the data serialization time has been reduced by 80.8%. With the increasing amount of data, it takes less time to compare with benchmark methods. .Big amount of data handling is very crucial to maintain so it is necessary to perform active compression methodology on this

Corporate data, Big data, Data compression & Data serialization.

"A SURVEY ON DATA ACQUISITION AND STORAGE SYSTEM FOR CORPORATE DATABASE USING BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.127-130, June 2019, Available :http://www.jetir.org/papers/JETIR1907R16.pdf

"A SURVEY ON DATA ACQUISITION AND STORAGE SYSTEM FOR CORPORATE DATABASE USING BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp127-130, June 2019, Available at : http://www.jetir.org/papers/JETIR1907R16.pdf