Essay about Cloud Computing

1247 Words Jul 20th, 2013 5 Pages
Cloud computing and analytics


1. Introduction

Organizations and individuals collect vast amounts of data in their day to day operations. Data growth comes from multiple sources: From the use of computing within an enterprise for business functions such as commerce, customer service, and resource management. Use of communication devices, including computers, tablets, and mobile phone by individuals for both work and personal use also increases the daily data collected. The instrumentation of physical infrastructure, such as electrical grids, highways, and buildings for more efficient monitoring and management, opens the opportunity to collect a lot of data. It is expected that the trend will continue as both
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It leverages the use of Cloud and related computing, communications, and data management and visualization technologies to quickly and more economically perform sophisticated multivariate analysis on massive centralized, distributed, and/or federated data sets to better understand and help solve complex problems.
Cloud analytics is a service model in which elements of the data analytics process are provided through a public or private cloud. Cloud analytics applications and services are typically offered under a subscription-based or utility (pay-per-use) pricing model.
3. Database Design

Cloud analytics has six key elements of analytics namely data sources, data models, processing applications, computing power, analytic models and sharing or storage of results (Crookes, 2012). A cloud analytics company has to offer all these elements in order for it to be termed as one. Examples of cloud analytics products and services include hosted data warehouses, software-as-a-service business intelligence (SaaS BI) and cloud-based social media analytics. (Rouse, 2012).
SaaS BI (also known as on-demand BI or cloud BI) involves delivery of business intelligence (BI) applications to end users from a hosted location. This model is scalable and makes start-up easier and less expensive, but the product may not offer the same features as an in-house application.
Cloud-based social media analytics involves the remote provisioning of tools

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