• Mrs. Aparna Abhijit Kale
• Mrs. Asawari Anant Sawant

Data has turn out to be a very central part in almost every field. But the factual hurdle in this is which the expedient data is and where to store this huge data. In this scenario, data processing and storage comes in picture. Data is nothing but collection of meaningful items, these items are processed and analysed using 3 major steps: processing of raw data, normalization and statistical analysis. And the storage of this analysed data can be done either manually or using the new emerging and growing technologies like Big Data, Cloud computing, Hadoop etc.In Hadoop, the giant data collected, is divided into numerous clusters, and each cluster is individually processed on distributed servers and finally executed using distributed analysis application on each cluster. The biggest advantage of using Hadoop is that, even though the individual cluster collapse, the process of analysis continues.

"An Empirical Study on Data Processing Using Hadoop", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.517-521, April-2019, Available :http://www.jetir.org/papers/JETIRBB06102.pdf

"An Empirical Study on Data Processing Using Hadoop", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp517-521, April-2019, Available at : http://www.jetir.org/papers/JETIRBB06102.pdf