Crime Affiliates Essay

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Crime in Literature

Capitalizing on Elastic Computing

Aside from its potential to integrate and aggregate a host of resources and technologies, Cloud Computing can most prominently benefit the enterprise through the enabling of Elastic Computing.

Elastic Computing is the utilization of the Cloud's nearly limitless scalability to provision resources on demand and at scale without conventional architectural concerns associated with doing so on-premise such as:

Scaling Up and Down -- In physical environments, substantially adding or subtracting resources requires reconfiguring one's architecture to do so -- which is time consuming. Moreover, it is possible that after reconfiguring architecture to scale up, scaling back down again can require even more time than the former process, if doing so is even possible.

Storage -- Storage in on-premise environments is significantly more costly than Cloud-based storage, and was the principle reason that the philosophy of minimizing data within a physical warehouse was derived in order to reduce storage costs.

Network and Bandwidth -- One of the primary issues associated with scaling in physical environments is that doing so requires attaining greater and lesser amounts of bandwidth and accommodating a degree of strain on conventional architecture that is virtually non-existent when utilizing Cloud capabilities.

In comparison, the myriad positives associated with Elastic Computing include:

Increased Speed -- By provisioning resources when one needs them for specific tasks, the end user can greatly speed up time consuming processes such as querying and performing analytics.

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Resource Allocation -- Selecting what resources to use in a particular manner enables users to dedicate, for example, a percentage to computing and another percentage to storage to achieve greater efficiency and simultaneously load a data warehouse while querying it.

Accommodating Various Workloads -- A subset of the resource allocation functionality of Elastic Computing is the fact that it can account for various workloads while accessing just one platform through the Cloud.

Snowflake Elastic Data Warehouse

"Probably the most important and relevant thing here is that at this point we're sort of at that transitioning and inflection point where more data is coming from the Cloud than is being built on premises," Snowflake Computing CEO Bob Muglia stated. "That's a trend that will continue…As we talk to customers, more and more of them have a great deal of interest in doing data analysis in the Cloud. When the data is born in the Cloud it makes it a lot easier."

The Snowflake Elastic Data Warehouse is a Data Warehouse-as-a-Service (DWaaS) offering that utilizes Elastic Computing to specifically provide analytics on what the company terms business data -- meaning both structured transactional data and semi-structured data provided by machines (including sensor or web-based Big Data). Its propensity to do so with the latter data type is….....

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