• Akhil Kadian
• Dr. Ankit Kumar

Hadoop is an open-source software collection that helps analyse and managing Large Scale data. Hadoop's main point is to distribute the data set to several nodes for processing as a first step, and then, to compile it for the final result. Distributed File System (DFS) and MapReduce model are two important components of Hadoop. Machine learning data quality requirements indicate what size is important for the technology to work. Lastly, the data quality challenges from an industry perspective provide insight into what standards industry companies need to improve. Today, the author uses the Large Scale data analytics Platform to integrate all aspects within the plant and provide communication and information sharing across multiple business processes and processes. The software can automatically adjust the equipment, if it detects that a measure such as fan speed, temperature, or humidity has deviated from the acceptable range.

Hadoop Model, Hadoop Map Reduce Algorithm, MapReduce Model, Functions and Data Format.

"ANALYSIS USING MAP REDUCE IN HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.b159-b163, August-2023, Available :http://www.jetir.org/papers/JETIR2308118.pdf

"ANALYSIS USING MAP REDUCE IN HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppb159-b163, August-2023, Available at : http://www.jetir.org/papers/JETIR2308118.pdf