PERFORMANCE COMPARISON USING SPARK AND HADOOP FOR BIG DATA PROCESSING

Big Data using Hadoop

: “Big Data” is data that becomes large enough that it cannot be processed using conventional methods. The term Big Data concerns with the huge volume, complex and rapidly growing data sets with multiple, independent sources .Due to fast development of networking ,data storage and data collection capacity the concept of big data is now rapidly expanding in all science and engineering domains in...

Big Data Using Hadoop

17ANSP-BD-001 Hadoop Performance Modeling for JobEstimation and Resource Provisioning MapReduce has become a major computing model for data intensive applications. Hadoop, an open source implementationof MapReduce, has been adopted by an increasingly growing user community. Cloud computing service providers such as AmazonEC2 Cloud offer the opportunities for Hadoop users to lease a certain amou...

Performance Enhancement of Big Data Processing in Hadoop Map/reduce

High Performance clustering for Big Data Mining using Hadoop

Now a day, organizations across public and private sectors have made a premeditated decision to big data into competitive advantage. The motivation and challenge of extracting value from big data is similar in many ways to the age-old problem of distilling business intelligence from transactional data. Hadoop is a speedily budding ecosystem of components based on big data Map Reduce algorithm a...

Big Data Analytics using Hadoop

This paper is an effort to present the basic understanding of BIG DATA is and it's usefulness to an organization from the performance perspective. Along-with the introduction of BIG DATA, the important parameters and attributes that make this emerging concept attractive to organizations has been highlighted. The paper also evaluates the difference in the challenges faced by a small organiz...