A 3-5 Page APA Original Document Describing Your Approach ✓ Solved

A 3-5 Page APA Original Document Describing Your Approach To

A 3-5 page APA original document describing your approach to using Cloud services in your Data Analytics firm. You can choose to use Cloud services or not to use Cloud services. If you choose to use Cloud services your choices include things like SAAS, PAAS, IAAS, DBAAS, Desktop As a service, and others, and you must name your expected CSP. If you choose to NOT use cloud services, you must state the hardware and software you expect to acquire, what you think it will cost, whom will install and maintain it, how many employees you will hire to support it, and what data center you will rent/build to house it, plus any DR considerations.

Paper For Above Instructions

In today's fast-paced business environment, data analytics firms are compelled to utilize advanced technologies to gain a competitive advantage. Cloud computing has emerged as a pivotal solution for many organizations by offering scalable resources, enhanced collaboration, and reduced operational costs. In this paper, I outline my approach to using cloud services at my imaginary data analytics firm, AnalyticsPro. We will leverage cloud computing to facilitate operations, improve efficiency, and support data-driven decision-making.

Understanding Cloud Services

Cloud computing refers to the delivery of computing services—such as servers, storage, databases, networking, software, and analytics—over the internet (“the cloud”). It offers flexibility, scalability, and innovation at a fraction of the cost associated with traditional on-premises solutions. Organizations can choose from various models of cloud services including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). For AnalyticsPro, we will largely depend on SaaS and PaaS offerings to cater our analytics services efficiently.

Choosing Cloud Services

For our firm, embracing SaaS and PaaS not only aligns with our data analytics focus but also provides flexibility and cost efficiency. Specifically, we will utilize cloud services from Amazon Web Services (AWS), which offers a robust suite of tools for data storage, analytics, and machine learning.

The decision to use AWS is driven by its comprehensive service set, reliability, security features, and the capacity to scale operations seamlessly. We plan to employ AWS tools such as Amazon S3 for storage, Amazon Redshift for data warehousing, and AWS Lambda for serverless computing, thereby minimizing the need for on-premises infrastructure.

Cost Estimation and Financial Planning

Transitioning to AWS requires careful financial planning. Based on estimated usage and requirements, we predict an initial monthly expenditure of approximately $2,000 for cloud services, which includes storage, data transfer, and service subscriptions. Additionally, we will have costs associated with training employees to effectively utilize these cloud services, keeping the total estimated budget around $25,000 for the first year, including infrastructure and personnel costs.

Employee Structure and Roles

To support the cloud-based operations at AnalyticsPro, we will hire a team of five employees that include:

  • 1 Cloud Solutions Architect: To design and manage cloud services and ensure proper architecture.
  • 2 Data Analysts: To interpret data and derive actionable insights using cloud tools.
  • 1 Cloud Security Specialist: To secure our cloud resources and manage compliance.
  • 1 IT Support Specialist: To assist with day-to-day technical issues and monitor performance.

With the impending demand for data analytics processes, robust team dynamics are essential for maximizing the benefits derived from cloud services.

Choosing a Data Center

Although our primary operations rely on AWS cloud infrastructure, it is prudent to have a contingency plan. We plan to establish a secondary data center that will only be used in case of significant service interruptions from our cloud provider. This center will be located in an area with high reliability and infrastructure, as it will house backup data and facilitate disaster recovery (DR) measures. The estimated cost for establishing this secondary data center is projected at $150,000, considering hardware, software, and installation fees.

Disaster Recovery Considerations

Disaster recovery is critical for maintaining service continuity. Our approach will include regular backups to our secondary data center and a comprehensive disaster recovery plan that details procedures in the event of data loss or service outages. This will ensure that our firm remains operational and can quickly recover from unforeseen disasters, further enhancing our reliability in the domain of data analytics.

Conclusion

In conclusion, utilizing cloud services at AnalyticsPro offers numerous advantages, including cost savings, scalability, and enhanced collaboration. By leveraging AWS for our cloud computing needs, we ensure that we are well-equipped to respond to market demands and make data-driven decisions efficiently. Careful planning in terms of financial commitments, employee roles, and disaster recovery strategies will position our firm for success in the dynamic field of data analytics.

References

  • Amazon Web Services. (2021). AWS Cloud Services. Retrieved from https://aws.amazon.com
  • Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A.,... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
  • Marston, S., Li, Z., Bandyopadhyay, S., & Zhang, J. (2011). Cloud computing - The business perspective. Decision Support Systems, 51(1), 176-189.
  • Sharma, S., & Gupta, H. (2015). Cloud computing: The future of enterprise IT. International Journal of Computer Applications, 116(22), 16-21.
  • Buyya, R., & Yeo, C. S. (2008). Market-oriented cloud computing: Vision, hype, and reality for delivering IT services as computing utilities. In 2008 10th IEEE International Conference on High Performance Computing and Communications (pp. 5-13).
  • Khan, S. U., & Khan, R. Z. (2013). Cloud computing: A new way of doing business. International Journal of Cloud Computing and Services Science, 2(2), 45-53.
  • Rountree, D., & Castrillo, I. (2013). The basics of cloud computing: Understanding the fundamentals of cloud computing in your organization. Syngress.
  • Palankar, M., & Ahsan, K. (2015). A Study on Cloud Computing Challenges in Business Environment: A Survey. International Journal of Cloud Computing and Services Science, 4(1), 1-9.
  • Choudhury, J. (2015). Perspectives on Cloud Computing: Risks, Challenges, and Opportunities. International Journal of Cloud Applications and Computing, 5(3), 1-15.
  • IBM. (2020). The Cloud Computing Reference Architecture. Retrieved from https://www.ibm.com/cloud-computing

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