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Tuesday 27 June 2017
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Category: Big data

Big Data Companies to Watch Out For 2017

There is a constant growth in the Big Data industry, and this has indeed transformed the way people perceive the industry and how companies...

What is Hadoop?

Hadoop assists you to manage thousands of terabytes of data and makes it simple to run applications on systems which have thousands of...

Storage Architecture for Data-Intensive Computing

Integrating computers into our daily lives has led to a generation of data at staggering rates. Estimates from IDC indicated that there...

Data Intensive Computing Problems

All the existing data-intensive computing applications mainly focus on how to handle the challenges of massive data sets. However, there is...

MapReduce In Data Intensive Computing

Every day, scientific research experiments, commercial online data collecting and physical transactions done through digital devices...

What is Data Intensive Computing?

Data Intensive Computing is a class of parallel computing which uses data parallelism in order to process large volumes of data. The size...

Application of Data Science Versus Big Data

It’s almost impossible to overstate the role of data in today’s economy. We normally utilize the digital version of our world...

Big Data Analytics: Data Science as a Service

Data science as a service has started to gain popularity though it’s in its early stages. Statistics have revealed that numerous...

Hadoop

Why Are the Biggest Tech Companies Favoring Hadoop?

Since its inception in 2005, Hadoop has arguably been the most important analysis technology for big data. In over a decade of its use,...

data science

What is Data Science?

Data science is a practice of studying the data and extracting insights from it. The data can be structured as well as unstructured....