A robust near real-time retail data warehouse system leveraging Java, MySQL, and MeshJoin for efficient ETL, star schema design, and actionable OLAP insights.

Datawarehouse project that displays the power of using an extended mesh join to join incoming stream of transactional data with multiple master data using a single hash table with no collisions.

This repository contains a simulated real-time data warehouse for the METRO Shopping Store. The project utilizes streamed transactional (simulated) and a master database to create a warehouse using MESHJOIN, then performs advanced OLAP analyses on it. It was developed as part of the course Data Warehousing & Business Intelligence (DS3003).

A dataware house is generated for streaming data of a superstore using extended mesh join by Syed Husnain Haider Bukhari

The METRO DW prototype uses Mesh Join & Star Schema for sales, customer & inventory data analysis. Implemented in SQL & Java for fast, accurate, & consistent data retrieval. Offers valuable insights & can be queried with standard BI tools.

MeshJoin-Streaming-ETL-Data-Warehouse integrates real-time transactional data with master data using the Mesh Join algorithm. It processes and enriches data, then loads it into a data warehouse for analysis, leveraging efficient ETL processes and OLAP-ready SQL queries.

I Implemented a Near Real-time Data Warehouse Prototype for METRO. To mimic the near real-time Data Warehouse using 10,000 Transaction from METRO Against 100 products present in the Master Data.