Opportunity and Challenges for Migrating Big Data Analytics in Cloud

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Amitkumar Manekar, S.^1 ; Pradeepini, G.^2

Reserach Scholar KL University, Vijaywada A.P, India^1

Department of CSE, Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram

Andhra Pradesh, India^2

关键词: Big Data Analytics;    Cloud based platforms;    Cloud platforms;    Data acquisition and storage;    Data movements;    Migration of Data;    Real-time problems;    RFHC;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012148/pdf
DOI  :  10.1088/1757-899X/225/1/012148

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.