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,

Performed sentiment analysis on Twitter data of 'Go' game - Google’s Alphago vs Se-Dol Lee. Utilized Hadoop HDFS via Oracle Cloud, HiveQL and Tableau.

Apply and build analytical queries using Hive-HQL over large datasets, answer relevant questions in the data context

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