housing_rental_data_analytics

The report is divided into 3 parts:

1. Rental “demand” investigation: Weka is used to pre-process the data and build linear regression model to perform this analysis.

2. Storing data and possible solutions

   • A relational database is built in third normal form.
   • Sample SQL statements are created to retrieve data.
   • For addressing the needs of a housing manager dealing with significant data volumes across international offices,
   • a distributed system architecture that utilizes Hadoop ecosystem technologies is proposed as a comprehensive solution.

3. Considering web-based application Given the context of developing a public-facing application to promote a housing manager's business and the intention to capture personal details of potential clients, here are the three most salient privacy issues to consider, informed by the details provided in Task 1 and Task 2:

   • Data Security and Privacy Compliance
   • Consent and Transparency
   • Long-term Data Storage and Accessibility

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• The source code is in data folder
• Detailed report is in report.pdf