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azure_databricks

dynamics-analysis-of-restaurant-reviews-with-azure

This project aims to create a robust data pipeline using Azure services for storing, processing, and analyzing restaurant reviews. It leverages Azure Cosmos DB, Azure Functions, Azure Cognitive Services, and Azure Logic Apps, while ensuring strict adherence to data governance principles and GDPR compliance.

e-commerce_etl_analysis_project

fraud-detection-in-financial-transactions

hadoop_mastodon_project

movie_recommendation_system_analysis_big_data_ia

Innovative movie recommendation project using MovieLens data. This project aims to integrate Big Data analysis and machine learning to improve movie suggestions, using Apache Spark, Elasticsearch and a Flask API, to deliver a personalized and dynamic user experience.

realtime-log-analysis-azure

This project builds a real-time data pipeline for ingesting, processing, and analyzing logs from a web or mobile app. It leverages Azure Event Hub for data ingestion and Apache Spark on Azure Databricks for processing and analysis. The system monitors application performance, detects anomalies, analyzes user behavior, and enhances security.

sales-car-analysis

AutoOptimize Initiative: A revolutionary Data Engineering project transforming the automotive industry. Real-time analysis of salesperson performance using big data tools, coupled with historical sales analytics through Power BI dashboards. Goal: Enhance performance and identify opportunities in the African market.

similarity-distance-calculations

youcode-dataengineering