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.

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.