• AKHIL KADIAN
• Dr. ANKIT

Big data can be in the form structured or non-structured information. This information can be any image or audio or video or any type of text. As bid data itself represent huge amount of data and is in the unit of terabytes or petabytes. Such huge amount of data be generated via any social network site e.g., Instagram, mobile network, Facebook etc. One of the best tools which is used in Hadoop to analyze the data is Apache Hadoop Yarn. It is an open-source operating system and is easy to install and the best part of this operating system is that after installation it hardly slows down the system. To resolve various parametric problems, an innovative framework has been introduced in this study in Apache Hadoop to solve the parametric issues during data analysis in Hadoop. To increase the performance of analysis is Hadoop it is mandatory that there must be acceptable parameter configuration. The aim of the study is to line up the performance of Hadoop via parametric configuration. Proposed methodology will result in the improvement of various issues during configuration of data analysis in Hadoop.

- Big Data, Apache Hadoop YARN, HDFS architecture, Execution in Map Reduce, Proposed algorithm, Jobs of Hadoop YARN.

"PERFORMANCE ANALYSIS USING HADOOP CONFIGURATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.f730-f734, October-2023, Available :http://www.jetir.org/papers/JETIR2310491.pdf

"PERFORMANCE ANALYSIS USING HADOOP CONFIGURATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppf730-f734, October-2023, Available at : http://www.jetir.org/papers/JETIR2310491.pdf