Add to ORKGHadoop big data platform is designed to process large volume of data Small file problem is a performance bottleneck in Hadoop processing Small files lower than the block size of Hadoop creates huge storage overhead at Namenode s and also wastes computational resources due to spawning of many map tasks Various solutions like merging small files mapping multiple map threads to same java virtual machine instance etc have been proposed to solve the small file problems in Hadoop This survey does a critical analysis of existing works addressing small file problems in Hadoop and its variant platforms like Spark The aim is to understand their effectiveness in reducing the storage computational overhead and identify the open issues for furth...
Hadoop is a popular open-source implementation of MapReduce for the analysis of large datasets. To m...
Hadoop distributed file system (HDFS) is the file system whereby Hadoop is use it to store all the u...
With fast pace growth in technology, we are getting more options for making better and optimized sys...
Hadoop is an open source data management system designed for storing and processing large volumes of...
Hadoop is an optimal solution for big data processing and storing since being released in the late o...
AbstractThe usage of Hadoop has been increasing greatly in recent years. Hadoop adoption is widespre...
Hadoop is a distributed framework which uses a simple programming model for the processing of huge d...
Hadoop , an open-source implementation of MapReduce dealing with big data is widely used for short j...
Abstract--Hadoop is an open source Apache project that supports master slave architecture, which inv...
The Hadoop framework provides a powerful way to handle Big Data. Since Hadoop has inherent defects o...
Abstract — In the recent years, the use of internet get increases, so all user wish to store data on...
The big data is one of the fastest growing technologies, which can to handle huge amounts of data fr...
This paper describes how Hadoop Frame work was used to process large vast of data., in real time fau...
In todays scenario a word Big Data used by researchers is associated with large amount of data which...
Big data is the biggest challenges as we need huge processing power system and good algorithms to m...
Hadoop is a popular open-source implementation of MapReduce for the analysis of large datasets. To m...
Hadoop distributed file system (HDFS) is the file system whereby Hadoop is use it to store all the u...
With fast pace growth in technology, we are getting more options for making better and optimized sys...
Hadoop is an open source data management system designed for storing and processing large volumes of...
Hadoop is an optimal solution for big data processing and storing since being released in the late o...
AbstractThe usage of Hadoop has been increasing greatly in recent years. Hadoop adoption is widespre...
Hadoop is a distributed framework which uses a simple programming model for the processing of huge d...
Hadoop , an open-source implementation of MapReduce dealing with big data is widely used for short j...
Abstract--Hadoop is an open source Apache project that supports master slave architecture, which inv...
The Hadoop framework provides a powerful way to handle Big Data. Since Hadoop has inherent defects o...
Abstract — In the recent years, the use of internet get increases, so all user wish to store data on...
The big data is one of the fastest growing technologies, which can to handle huge amounts of data fr...
This paper describes how Hadoop Frame work was used to process large vast of data., in real time fau...
In todays scenario a word Big Data used by researchers is associated with large amount of data which...
Big data is the biggest challenges as we need huge processing power system and good algorithms to m...
Hadoop is a popular open-source implementation of MapReduce for the analysis of large datasets. To m...
Hadoop distributed file system (HDFS) is the file system whereby Hadoop is use it to store all the u...
With fast pace growth in technology, we are getting more options for making better and optimized sys...