DAT7015: Big Data Technologies Learning Outcome Critically exemplify the skills required for effectively representing, structuring, analyzing, manipulating, and accessing large data sets. Identify and critique significant current issues in the implementation and use of a range of Big Data Analytics Strategies. Integrate various computing technologies to provide an effective solution for a set of data-driven business requirements.

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Learning Outcome

Critically exemplify the skills required for effectively representing, structuring, analyzing, manipulating, and accessing large data sets.
Identify and critique significant current issues in the implementation and use of a range of Big Data Analytics Strategies.
Integrate various computing technologies to provide an effective solution for a set of data-driven business requirements.

Assessment Brief

Data Analysis
On given datasets, identify the questions that you would like to answer through data analysis.
Given two datasets, use SQL queries to create a new dataset for
Perform data cleaning and pre-processing tasks on the new
Use HIVE, MapReduce (or Spark), and machine learning techniques to analyse
Perform visualization using Python and PowerBI and report the
Issues and Solutions
Identify the current issues in the use of Big Data Analytics in the fashion retail industry. Based on the identified issues, propose an effective solution using various.

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