Highlights
Overview
For this assessment task, you will work in a team to write a research report to outline the rationales, challenges and benefits provided by real-time analytics applications.
Learning Outcomes Assessed
The following course learning outcomes are assessed by completing this assessment task:
K1. Apply the principles, methodologies and applications of real time systems in diverse domains.
K2. Identify and explain the architecture components of real time systems.
K3. Communicate the key drivers for big data in terms of efficiency, productivity, revenue and profitability to global organisations.
K4. Identify and describe types of big data, and analyse its differences from other types of data.
S1. Integrate data warehouse and business intelligence techniques when using big data.
A1. Communicate security, compliance, auditing and protection of real time big data systems.
A2. Adopt problem solving and decision making strategies, to communicate solutions to organisational problems with key stakeholders, based on analysis of big data, in real time settings.
V1. Value the need to work collaboratively and autonomously on organisational real time big data problems.
V2. Appreciate the need for big data techniques given that conventional information technologies cannot effectively handle the size, the scale and growth of real time big data sets.
Assessment Details
For this assignment, you will need to a research report of about 3000 words focusing on one of the following topics
Big Data privacy
Big data governance
Strategic issues stemming from BI&A and big data
Change management issues stemming from BI&A and big data
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