Cloud Computing And Big Data Management For Businesses
An overview of the business and technology drivers of cloud computing. Cloud computing concepts & terminologies. Characteristics of the cloud and virtualization. Introduction to the cloud models of Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).…
Learning outcomes
Upon completion of this course the student should be able to: 1. display knowledge capacity on overview of the business and technology drivers of cloud computing, cloud computing concepts & terminologies, characteristics of the cloud and virtualization; 2. exhibit acquired knowledge and understanding of the cloud models of Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS); 3. appreciate the types of cloud available to an organization: Public / private / hybrid; 4. identify Cloud providers and their tools and applications; 5. identify the Big Data Platforms; and 6. display skills of managing of big data, and conducting big data analytics.
Course contents
An overview of the business and technology drivers of cloud computing. Cloud computing concepts & terminologies. Characteristics of the cloud and virtualization. Introduction to the cloud models of Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Types of cloud available to an organization. Public / private / hybrid. Understanding the elasticity, resiliency, on-demand and measured usage that cloud computing provides to the business. Introduction to cloud providers and their tools and applications, for example, Amazon web services, Google apps, Microsoft azure, etc. Measuring the business value and ROI of cloud computing. Calculating and rating the Service Level Agreements (SLAs) with your cloud provider. Overall benefits, challenges and risks of transitioning to the cloud, for example, ownership, security, data protection, etc. Big data skills and sources of big data. Big data adoption. Meaning of big data. Characteristics of big data - the four V's. Understanding big data with examples. The big data platform. Management of big data. Big data analytics BIT 413: Seminar and Workshop on BIT (3 Units C: PH 45) 125 Learning Outcomes At the end of the course the student should be able to: 1. demonstrate the ability to perform critical readings and writing; 2. display the ability to construct a paper consistent with expectations of the discipline, including an appropriate organization, style, voice, and stature; 3. demonstrate the ability to identify the seminar’s intended audience and objectives and respond appropriately; 4. develop the ability to collaborate with others on intellectual projects such reading, writing, speaking, researching, business application model building; 5. demonstrate the ability to debate with an appreciation for complex social and cultural sensibilities; and 6. demonstrate the ability to speak and offer compelling, articulate oral arguments, showing an understanding of the unique demands of oral…