Netflix Data Analytics Dashboard Using Amazon S3 & Amazon QuickSight.
This project demonstrates how to build a simple and scalable analytics solution using AWS services. The goal is to ingest Netflix viewing data, store it securely in Amazon S3, and create interactive dashboards in Amazon QuickSight to generate business insights. The architecture follows a serverless and cost-effective approach that allows users to visualize trends, analyze content performance, and gain meaningful insights from Netflix datasets.
Architecture
Netflix Dataset → Amazon S3 → Amazon QuickSight → Interactive Dashboard
What I Built
✅ Stored Netflix CSV data in Amazon S3
✅ Connected QuickSight directly to the S3 dataset
✅ Created visualizations for:
- Movies vs TV Shows
- Content by Genre
- Release Trends by Year
- Country Analysis
- Content Ratings Distribution
Key AWS Services
- Amazon S3 for scalable data storage
- Amazon QuickSight for business intelligence and dashboard creation
Key Takeaways
- Learned how to build a serverless analytics solution on AWS
- Gained hands-on experience with QuickSight datasets and visualizations
- Explored data storytelling through interactive dashboards
- Applied security best practices using IAM and S3 permissions
This project reinforced how quickly AWS services can turn raw data into meaningful business insights without managing infrastructure.
#AWSCommunityBuilders #AWS #AmazonS3 #AmazonQuickSight #DataAnalytics #CloudComputing #BusinessIntelligence #FallIntoTech #AWSLearningJourney
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