CABology: Value of Cloud, Analytics and Big Data Trio Wave by Nitin Upadhyay

Author:Nitin Upadhyay
Language: eng
Format: epub, pdf
Publisher: Springer Singapore, Singapore

How do we develop, test, and deploy analytical models promising to generate business value?

How do we control, manage, and source big data and big data infrastructure services?

How do we ensure stakeholders’ concern is addressed?

Cloud Solution Evaluation

Cloud service models could be identified that are self-service changeable. The leader should understand that the cloud adoption is not the just technology-oriented, focused goal but also vital to business compliance. As dynamics of organization keep changing due to the inclusion of internal and external forces, the cloud solution provider and solutions must be aligned with the organization demands and requirements. Amazon has emerged as the first vendor to offer a wide variety of public cloud services. Amazon cloud services include Elastic Computing Cloud (EC2), Simple Storage Service (S3), and Simple Queueing Service (SQS). Many research organizations have started utilizing Amazon cloud services as a test bed for their research experiment and case evaluations. Cloud services can achieve a different level of performance depending upon the workload generated by different system processes and applications (Gubbi, Buyya, & Marusic, n.d.; Zardari, 2014). Google Application Engine (GAE) and Microsoft Azure (MA) also provide competitive cloud services.

When considering cloud solutions , review the below checklist, Fig. 5.1, and evaluate it against the cost, opportunity, benefits, and risks parameters. Ensure that the cloud solutions are in align with the CAB business strategy and you had prioritized business use cases and identified the value proposition. Compliance

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