| Word Count |
2,500 word |
| Assessment Type |
Summative Assessment |
| Assessment Title |
CW1(S) |
| Academic Year |
2025-26 |
Introduction
Big Data refers to a very large, complex, fast-growing and diverse digital information. These datasets comes from several sources such as social media, mobile devices, transactional records and sensors. Big Data is identified by the "3 Vs": Volume such as huge amounts of data, Velocity such as speed of data generation, and Variety such as different data format structured, unstructured, and semi-structured........View More
Table of Contents
Introduction...............................................................................................................................3
Task 1. Big Data Requirements & Storage Solutions (LO2, approx. 800 words)...................3
Requirements of a Big Data System for CropGuard.....................................................................4
Evaluation of the Big Data Cloud Platforms..................................................................................4
Big Data Processing Technologies ...................................................................................................5
Task 2. Proposed System Architecture ((LO1, approx. 500 words, plus relevant diagram(s)) ...................................................................................................................................................6
Overview Diagram............................................................................................................................6
Justification of the use of this system architecture ........................................................................7
Building system architecture and implementation........................................................................9
Meeting CropGuard Goals and objectives.....................................................................................9
Task 3. Project Risks & Issues................................................................................................10
Data Security and Privacy .............................................................................................................10
Cost Management...........................................................................................................................10
Data Quality & Integrity................................................................................................................ 11
Concerns related to Stakeholders.................................................................................................. 11
Risk analysis and mitigation..........................................................................................................13
Conclusion...............................................................................................................................14
References ...............................................................................................................................15
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