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A Rule-Based discount calculating engine for a retail store. The engine reads transaction data, applies various discount rules based on the product, date, and other criteria, and writes the results back to a database.
This Repo shows how to build a CI/CD process with Azure Pipelines. A python script places in an Azure Repo which extracts data from an API and exports the data to a blob on Azure cloud is utilized for this process.
This project demonstrates an ETL pipeline using Microsoft Azure for IMDb Movie Rating Dataset analysis. It covers data extraction from Azure Blob Storage, transformation with Azure Databricks, and loading into Azure SQL using Azure Data Factory. The pipeline automates insights generation and is a practical example of cloud-based data engineering.
Optimize your marketing agency's data workflow with this repository, focusing solely on news integration. Leverage Google Workspace and TrawlingWeb for efficient news acquisition and analysis, transforming complex information into actionable insights with fast, autonomous processes.
Introduction to the data pipeline management with Airflow. Airflow schedule and maintain numerous ETL processes running on a large scale Enterprise Data Warehouse
Creates an automated ETL (Extract, Transform, Load) pipeline that extracts (from three data files), transforms, and loads data into a movies database. Uses Python (Pandas), PostgreSQL, and SQL.
A comprehensive ETL pipeline and sales analysis project leveraging Microsoft Azure and PySpark, designed to optimize e-commerce sales by providing actionable insights through detailed data analysis.