Big Data

Introduction

Nowadays, Technology is evolving rapidly and affecting businessman and organization people in the way they operate. Technology also provides us the easiest way to conduct a thing efficiently with only little time consuming. One of the major technology invention for the world is Big Data. Big Data is widely used today for implementing a timely efficiency in accounting, business process and administrative works.

In general, Big Data is a term and technology which is used to describe the collection, processing and availability of huge volumes of data efficiently in a specified time. Big Data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. Big Data "size" is a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data. Big data is a set of techniques and technologies that require new forms of integration to uncover large hidden values from large datasets that are diverse, complex, and of a massive scale. Big data analytics consists of 6 Cs in the integrated industry 4.0 and Cyber Physical Systems environment. 6C system are standing as follows:

1. Connection (sensor and networks)

2. Cloud (computing and data on demand)

3. Cyber (model and memory)

4. Content/context (meaning and correlation)

5. Community (sharing and collaboration)

6. Customization (personalization and value).

For example, in this scenario and in order to provide useful insight to the factory management and gain correct content, data has to be processed with advanced tools (analytics and algorithms) to generate meaningful information. Considering the presence of visible and invisible issues in an industrial factory, the information generation algorithm has to capable of detecting and addressing invisible issues such as machine degradation, component wear, etc. in the factory floor. Big Data is also used in...