• Zakiullah
• Anjali Chaudhary

The management of enormous quantity of ever-growing digital data is an important topic today. This is especially important with regard to safe data storage, processing and organization. Various subsets of machines are generated in Apache Hadoop's ecosystem and data is then effectively coordinated between the users. In this paper we study the vital components of Hadoop ecosystem, Hadoop Distributed File System (HDFS) and MapReduce. HDFS is used as the main storage system for various Hadoop applications. HDFS offers high and robust data availability to various end user applications. MapReduce is an application environment for the analysis and transformation of big datasets into a specific outcome. This paper also focused on the examination and the various potentials and benefits of Hadoop with relation to HDFS 1.0, HDFS 2.0 and its analytical and security capabilities.

Hadoop, Big data, Apache Hadoop's ecosystem

"SECURE HADOOP ECOSYSTEM FOR BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.181-187, May-2019, Available :http://www.jetir.org/papers/JETIR1905C28.pdf

"SECURE HADOOP ECOSYSTEM FOR BIG DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp181-187, May-2019, Available at : http://www.jetir.org/papers/JETIR1905C28.pdf