The anatomy of big data computing

The evolution of big data computing, differences between traditional data warehousing and big data, taxonomy ofbig data computing and underpinning technologies, integrated platform of bigdata and clouds known as big data clouds, layered architecture and components of bigData cloud, and finally open‐technical challenges and future directions are discussed.

Abstract

Summary Advances in information technology and its widespread growth in several areas of business, engineering, medical, and scientific studies are resulting in information/data explosion. Knowledge discovery and decision‐making from such rapidly growing voluminous data are a challenging task in terms of data organization and processing, which is an emerging trend known as big data computing , a new paradigm that combines large‐scale compute, new data‐intensive techniques, and mathematical models to build data analytics. Big data computing demands a huge storage and computing for data curation and processing that could be delivered from on‐premise or clouds infrastructures. This paper discusses the evolution of big data computing, differences between traditional data warehousing and big data, taxonomy of big data computing and underpinning technologies, integrated platform of big data and clouds known as big data clouds, layered architecture and components of big data cloud, and finally open‐technical challenges and future directions. Copyright © 2015 John Wiley & Sons, Ltd.