One of the most challenging issues in the big data research area is the inability to process a
large volume of information in a reasonable time. Hadoop and Spark are two frameworks for …

As today's organizations are capturing exponentially larger amounts of data than ever, now
is the time for organizations to rethink how they digest that data. Through advanced …

Innovation in Hadoop and other related big data technologies in recent past bring on to the
table promises around better management of enterprise data at much lesser cost but with …

In this paper, a technology for massive data storage and computing named Hadoop is
surveyed. Hadoop consists of heterogeneous computing devices like regular PCs …

Multimedia big data analyzing is the new topic that focus on all features of distributed
computing systems that contains of a combination of text, visual and audio modalities. The …

In this paper we will discuss about an open source framework for storing and processing a
huge amount of data, known as HADOOP (High Availability Distributed Object Oriented …

Most today's students are comfortable and proficient in searching information using network-
based electronic tools. Yet, our experience led us to believe that the majority of these …

Over last few years, innovation in Hadoop and other related Big Data technologies in last
few years brings on to the table a lot of promises around better management of enterprise …

A huge amount of sensing data are generated by a large number of pervasive IoT devices.
In order to find meaningful information from the big data, it is essential to perform pre …

We established a framework construct to form a big data analytics (BDA) platform using real
volumes of health big data. Existing high-performance computing (HPC) architecture was …