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While as Cloud Computing means using the processing power of a cluster which is all available on the cloud internet, and may be hosted by Amazon AWS, or Microsoft Azure. An on-premise MySQL, Oracle orSQLServer database service is propped up by an overloaded IT department with a queue of work and inflexible hardware. If an enterprise rents Microsoft Azure Database, Google Cloud SQL or Amazon RDS these infrastructure headaches go away.
Cloud Computing
Cloud computing refers to a broad set of computing and software products that are sold as a service, managed by a3rd-party provider and delivered over a network. Infrastructure-as-a-Service (IaaS) is a flavor of cloud computing in which on-demand processing, storage or network resources are provided to the customer. Sold on-demand with limited or no upfront investment for the end-user, consumption is readily scalable to accommodate spikes in usage. Customers pay only for the capacity that is actually used (like a utility), as opposed to self-hosting, where the user pays for system capacity it is used or not.
Big Data
For organizations of all sizes, data management has shifted from an important competency to a critical differentiator that can determine market winners and has-beens. Fortune1000 companies and government bodies are starting to benefit from the innovations of the web pioneers. These organizations are defining new initiatives and reevaluating existing strategies to examine how they can transform their businesses using Big Data. In the process, they are learning that Big Data is not a single technology, technique or initiative. Rather, it is a trend across many areas of business and technology.
Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great.
Overall, cloud computing provides better agility and scalability, together with lower costs and faster time to market. However, it does require that applications be engineered to take advantage of this new infrastructure; applications built for the cloud need to be able to scale by adding more servers, for example, instead of adding capacity to existing servers
Hi,
Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. And big data may be as important to business – and society – as the Internet has become. Why? More data may lead to more accurate analyses.
Cloud Computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications, rather than a direct connection to a server. Data and software packages are stored in servers. However, cloud computing structure allows access to information as long as an electronic device has access to the web. This type of system allows employees to work remotely.
Of course there is a relation between them, as many customers start using cloud services and many of thes custmers have big data that should be transferred through WAN (which is a challenge), but now many companies start introducing applications that can deal and process big data like Hadoop.
HTH
Best Regards,
Cloud computing and Big Data is two different things.
Cloud computing is the technology for Datacenters and Big Data is database system.
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