Authors: S Amitkumar Manekar1 and G. Pradeepini Dr.

 
Journal: IOP Conference Series: Materials Science and Engineering
 
Publisher: IOP Publishing
 
Abstract
 
Big Data Analytics is a big word now days. As per demanding and more scalable process data generation capabilities, data acquisition and storage become a crucial issue. Cloud storage is a majorly usable platform; the technology will become crucial to executives handling data powered by analytics. Now a day's trend towards "big data-as-a-service" is talked everywhere. On one hand, cloud-based big data analytics exactly tackle in progress issues of scale, speed, and cost. But researchers working to solve security and other real-time problem of big data migration on cloud based platform. This article specially focused on finding possible ways to migrate big data to cloud. Technology which support coherent data migration and possibility of doing big data analytics on cloud platform is demanding in natute for new era of growth. This article also gives information about available technology and techniques for migration of big data in cloud.
 
 
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence

Illustration Photo: Big Data Analytics Center at Codelco (credits: Codelco / Flickr Creative Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

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