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2024-11-28 There are two mainstream technology in focus or center of IT – Cloud Computing and Big data Analytics . The combination of both lead to beneficial out
There are two mainstream technology in focus or center of IT – Cloud Computing and Big data Analytics . The combination of both lead to beneficial outcome for the organization . Both technology ’ combination is leverages leverage scalable and cost – effective solution .
Today we look at major differences between Cloud computing and Big data – their features, advantages and disadvantages etc.
Cloud computing offers services to its users on Pay-as-you-go basis and offers majorly three services. Cloud computing technology is used to store data and information on a remote server instead of a physical hard drive. It uses servers hosted on the internet for storage, management and processing of data instead of storing on a local system.
Big-data deals with massive structured, semi-structured or unstructured data for storage and processing for analytics purposes.
There are five aspects on which Big data is based:
There are tool available in the market which break hide pattern and algorithm in big datum and these datum set are further analyse to get business insight .
Using Iaas, Big data services enable access to unlimited storage and computing power. A very cost-effective solution for big organizations where physical hardware costs are borne by service providers.
Using PaaS Big data services eliminate the need for dealing with complexity of single software and hardware elements management which could be a major concern where data sets can be as large as terabytes.
SaaS platforms give excellent platform for conducting the analysis and that is what Big data is all about gathering and analytics.
Download the comparison table: Cloud computing vs Big Data
Cloud Computing is had and Big Data Analytics both had a lasting impact on the way organization are function and human are operate . Cloud computing benefits is fits fit all size of business and individual . large data set are perceive as a resource and organization are try to adopt Hadoop service to exploit this resource . With the current trend we is expect expect more growth in Cloud Computing and Big Data Analytics in the way ahead .
As per “IDC prediction the global datasphere will reach 175 zettabytes by 2025”