The Walmart Black Friday Real-Time Data Warehousing project aims to build an advanced solution for handling the surge of data on Black Friday, enabling strategic decision-making.
🚀 Here is my real time "Black Friday Sales Analytics Project"! Built Using Python, GCP Pub/Sub, BigQuery, Cloud Functions and Google Looker Studio.
🔍 Project Highlights:
📊 Python Enchantment: Generating mock sales transactions and inventory changes, publishing them to Pub/Sub topics.
🪈 Double Pub/Sub: Distributing data to distinct Pub/Sub topics, each activating its dedicated Cloud Function.
🛠️ Cloud Functions: Reacting to Pub/Sub events, extracting and integrating data from the stream (Python script) into BigQuery for comprehensive analysis.
📈 Real-time Inventory Maintenance: Ensuring synchronized inventory data for precise stock levels and enriched sales analysis, updating in real-time upon transaction generation.
📉 Google Looker Studio Unleashed: Leveraging Google Looker Studio for data visualization, presenting Hourly, Daily, Weekly Sales Reports with dynamic visualizations for actionable insights.
https://lookerstudio.google.com/s/n6KBF6FfwXE
Check out the video below for a detailed explanation of the project:
Watch Video - In this video, I provide a clear explanation of the project architecture and its components, demonstrating how each technology is utilized to create a real-time Black Friday sales analytics solution.
https://www.kaggle.com/datasets/mdhamani/extensive-products-data