Abstract

Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements. This paper surveys the two frontiers – Big Data and cloud computing – and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains. While Big Data is responsible for data storage and processing, the cloud provides a reliable, accessible, and scalable environment for Big Data systems to function. Big Data is defined as the quantity of digital data produced from different sources of technology, for example, sensors, digitizers, scanners, numerical modeling, mobile phones, Internet, videos, social networks. Cloud Computing and Big Data are complementary to each other. Rapid growth in Big Data is regarded as a problem. Clouds are evolving and providing solutions for the appropriate environment of Big Data while traditional storage cannot meet the requirements for dealing with Big Data, in addition to the need for data exchange between various distributed storage locations. Cloud Computing provides solutions and addresses problems with Big Data. Big data and Cloud computing both the technologies are valuable on its own. Furthermore, many businesses are targeting to combine the two techniques to reap more business benefits. Both the technologies aim to enhance the revenue of the company while reducing the investment cost. While Cloud manages the local software, Big data helps in business decisions. In paper introduces the relationship between Big Data and Cloud Computing, Cloud Computing role of Big Data, advantages of Big Data and Cloud computing, cloud architecture, importance of Cloud Computing.

Highlights

  • Big data basically refers to sets of data that are large in volume and cannot be processed through traditional application software

  • Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering

  • Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements

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Summary

Introduction

Big data basically refers to sets of data that are large in volume and cannot be processed through traditional application software. For example Amazon “Elastic Map Reduce” demonstrates how the power of Cloud Elastic Computes is leveraged for Big Data processing. The combination of both yields beneficial outcome for the organizations [3]. Not to mention, both the technologies are in the stage of evolution but their combination leverages scalable and cost-effective solution in big data analytics. Cloud computing and big data, while still in constant evolution, are proving to be the ideal combination Together, they provide a cost effective and scalable infrastructure to support big data and business analytics

Big Data Evaluation
The Relationship Between Big Data and Cloud Computing
IAAS in Public Cloud
Benefits of Big Data Analysis in Cloud
Simplified Infrastructure
Lowering the Cost
Security and Privacy
Advantages of Big Data and Cloud Computing
Data Processing
Cutting Cost with Big Data in the Cloud
Reduced Complexity
Cloud Big Data Challenges
Private Cloud
Hybrid Cloud
Public Cloud
Importance of Cloud Computing for Big Data
Cutting Costs with Big Data in the Cloud
Fast Time to Value
10. Conclusion

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