Big Data management is no longer an ‘if’ for companies, it is more a ‘when’ and ‘how’. With industry stats like 20% reduction in patient mortality by analyzing data in Healthcare & 92% reduction in processing time by analyzing call and networking data in the Telecom industry, enterprises are achieving Big ROI with Big data.
Handling big data on the cloud seems to be a viable option for enterprises looking for a scalable and cost optimal alternative. However, organizations need to ensure they understand the relationship between big data and cloud computing before moving their content to the cloud. This article throws light on connection between the two and presents a set of criteria you can use before adopting a cloud saas solution.
Big Data in Cloud Computing
Cloud-based Big Data Solutions help businesses manage customer loyalty by sending an online coupon of a favorite store to the customer. The combination of cloud with big data enables users to easily access computing and storage resources with little or no IT support. It also minimizes expenses occurred on hardware or software for maintaining the ecosystem. In addition, important business decisions can be made regarding quality management of a product in a plant through collection and analysis of data gathered from various sensors.
A cloud-based service can provide an economical solution to your big data needs, but it has its own challenges. Therefore, it is necessary to do your homework before moving big data onto the cloud. Given below is a cloud computing checklist that you can use to evaluate your options before developing your big data and cloud infrastructure:
One of the key characteristics of big data on cloud is scalability: Users can add or subtract resources in almost real time based on the enterprise’s changing requirements.
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