Explain the architectural components of real time systems

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Reference no: EM133867472

Assessment Task - Data Analytics Assignment

Overview
This assignment requires you to demonstrate advanced skills; and so minimal guidance on the structure of your solution will be provided in this assignment specification. You are expected to draw from your learning in both this unit and earlier units to complete this task.

Learning Outcome 1: K1. Examine the principles, methodologies and applications of real time systems in diverse domains.
K2. Identify and explain the architectural 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. Distinguish and describe types of big data and analyse its differences from other types of data.
K5. Investigate and critique various technologies used to support real time systems, big data analytics including mobile specific data.
Skills:
S1. Integrate data warehouse and business intelligence techniques when using big data.
S2. Create flexible analytical models based on real time data and use connectivity interfaces and tools for reporting purposes.
S3. Use real time performance analysis techniques to monitor data, and identify shifts or events occurring in data, as a basis for organisational decision making.

Application of knowledge and skills:
A1. Assess real-time big data systems for security, compliance, auditing, and protection.
A2. Evaluate and implement 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.

Assessment Details
For this assignment you will have access to a real data set.

You will be working with dataset by DataCo Global. This can be accessed through the following link:
DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS.

Please note that this is a publicly available dataset, and the aim of the assessment task is that you apply problem solving and data analytics skills to identifying trends in the data and offer suitable recommendations.

You will need to wear a ‘Business and Data Analyst' hat.

The folder containing the relevant Data files have also been provided.

First, each group is expected to thoroughly explain the data sets to use in the task and then introduce any data pre-processing techniques to be utilised.

Second, each group will choose the appropriate data analysis techniques and conduct the analysis, including descriptive and predictive analysis. A data visualisation solution should be developed to enable the stakeholders to monitor and analyse the data in real time.
Finally, based on your data analysis results your group will give recommendations to key stakeholders to advise them on findings from the data and recommendations for business enhancement.

Reference no: EM133867472

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