INFS5710 Information Technology Infrastructure for Business Analytics Assignment Help

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This INFS5710 Information Technology Infrastructure for Business Analytics will introduce students to the many cloud computing technologies available today & their importance in facilitating business analytics processes. In addition, they will learn about the pros and cons of cloud migration & the best methods for protecting sensitive information while storing it online. In addition, the course will delve into data storage technologies, discussing relational databases, NoSQL databases, and information warehousing. Students will learn how to efficiently store data for analysis by developing, deploying, and administering databases.

The training will also cover networking, an essential component for promoting effective data transmission and teamwork inside an organization. Successful business analytics initiatives rely on safe and trustworthy data networks, which students will learn how to create through the study of network structures, protocols, & security measures. The course will conclude by stressing the relevance of IT risk management and security to the field of business analytics.

The goal of the INFS5710 Information Technology Infrastructure for Business Analytics academic assignment is to give students the tools they need to utilize IT in the realm of business analytics effectively. Students will be better able to use cutting-edge technologies and maximize their analytical capacities for making strategic choices in the corporate sector if they have a firm grasp of the fundamentals of these infrastructures.

Learning outcomes:

• Exhibit a Deep Knowledge of the Importance of Various IT Infrastructures to the Field of Business Analytics, Including Cloud Computing, Data Storage Systems, Networking, & Security.
• Determine which cloud computing model is best suited to each company scenario in terms of scalability, affordability, and data security.
• Relational and non-relational database design, development, and administration for analytical data management.
• The ability to analyze and build secure data networks is crucial for facilitating effective data sharing and collaboration throughout an organization.
• Safeguard confidential information and keep business analytics running smoothly by discovering and mitigating vulnerabilities in IT systems.

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