hadoop 2019

Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.

A Review on Hadoop Eco System for Big Data
free download

In this era of information age, a huge amount of data generates every moment through various sources. This enormous data is beyond the processing capability of traditional data management system to manage and analyse the data in a specified time span. This huge

A novel entropy-based dynamic data placement strategy for data intensive applications in Hadoop clusters
free download

In the last decade, efficient data analysis of data-intensive applications has become an important research issue. Hadoop is the most widely used platform for data intensive application. However, majority of data placement strategies attempt placing related-data Data-intensive systems are a technological building block supporting Big Data and Data Science applications. Rapid emergence of these systems is driving the development of new books and courses to provide education in the techniques and technologies needed to

HADOOP based Picture Pressure and Amassed Approach for Lossless Compression
free download

Computerized picture preparing is a renowned and developing field of utilization underneath software engineering building. The uses of computerized picture handling are medicinal imaging, satellite imaging, and video in which the measure of the picture or

Sorting Technique-An Improvement towards HDD Utilization in HADOOP
free download

A data is tremendously increasing everyday due to updates that are updated after a particular time interval. Therefore it is very hard to handle such a large data that is updated on common basis. Ample number of techniques was proposed in order to enhance the

Hadoop Based Storage and Analysis of Events
free download

In recent years the volume of data stored has increased rapidly. This is largely due to do increased use of computers and the internet with the possibility of recording every occurring event. These collections of data have become known as Big Data. The traditional methods

free download

The Map Reduce gadget and its open authority execution Hadoop have became the real degree for adaptable investigation on expansive data sets as of late. One of the critical worries in Hadoop is the way to limit the achievement period (iE, make span) of an



hadoop 2019 IEEE PAPER