Clustering-Based Data Analysis With Hadoop

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Ms. Shweta Bhonde, Prof. Mirza Baig
  10.14445/22312803/IJCTT-V67I5P113

MLA

MLA Style:Ms. Shweta Bhonde, Prof. Mirza Baig"Clustering-Based Data Analysis With Hadoop" International Journal of Computer Trends and Technology 67.5 (2019): 78-81.

APA Style: Ms. Shweta Bhonde, Prof. Mirza Baig (2019). Clustering-Based Data Analysis With Hadoop International Journal of Computer Trends and Technology, 67(5), 78-81.

Abstract
Large collection of data sets includes different types such as structured, unstructured and semi-structured data. This data is categories as “Big Data” due to its absolute volume, variety and velocity. Traditional data management, warehousing and analysis system fall short of tools to analyze this data. Big data exceeds the processing capability of traditional database to capture, manage, and process the voluminous amount of data. Due to its specific nature of Big Data, in this paper we first introduce the big data is stored in distributed file system architectures. Hadoop and HDFS by Apache is widely used for storing and managing Big Data and the data processing is done by the Map Reduced system. To process or analyse this huge amount of data or extracting meaningful information is a challenging task.

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Keywords
Big Data, HDFS, Map Reduced, Cluster