This project demonstrates the design of a scalable and efficient enterprise architecture to support big data analytics within an organization. The system focuses on managing large volumes of structured and unstructured data for real-time insights and decision-making.
- Layered Architecture – Includes data ingestion, processing, storage, and presentation layers.
- Technologies Used – Apache Hadoop, Spark, Kafka, HDFS, and NoSQL databases.
- Scalability & Performance – Designed to handle growing datasets and complex queries.
This architecture enables businesses to extract value from big data, enhance operations, and gain competitive advantages through analytics.