Enhancing the Traditional File System to HDFS: A Big Data Solution

Attack Tolerant Big Data File System

Data driven decisions derived from big data have assumed critical importance in many application domains, fueling the demand for collection, transportation, storage and processing of massive volumes of data at fast speeds. Such applications have made data a valuable resource that needs to be provided appropriate security. High value associated with big data sets has rendered the entire cyber in...

Enhancing Big Data Security

Big Data: Does it Call for Distributed File System

Today, in order to support decision for strategic advantages alignment, companies’ have started to realize the importance of using large data. It is being observed through different study cases that “Large data usually demands for faster processing”. As a result, companies are now investing more in processing larger sets of data rather than investing in expensive algorithms. A larger amount of ...

Big Data Analytics: An Approach using Hadoop Distributed File System

Today’s world is driven by Growth and Innovation for a better future. All of which are based on analysis and harnessing of tons of data, typically known as Big Data. The tasks involved for achieving results at such a scale can be challenging and painfully slow. This paper works towards an approach for effectively solving a large and computationally intensive problem by leveraging the capabiliti...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...