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This project demonstrates the process of extracting data from a MySQL database, transferring it using Apache Sqoop, storing it in Hive Data warehouse (the data actually is store in Hadoop Distributed File System (HDFS)), and performing analysis using Hive Query Language (Hive QL) (it is a language close to SQL). Then visualize the data in Power BI,
For this project we studied 3 data sets revolving around neighborhoods in New York City. We hope to learn what neighborhoods in Brooklyn are good to live in
Created a simple web app which gives users a summary of the types of 311 requests in their Chicago neighborhood, built with Lambda Architecture principles using Apache's tech stack
The purpose of this dataset is to get a better understanding of the taxi system so that the city of New York can improve the efficiency of in-city commutes.