Cloud-Native Big Data Processing
Cloud-native Big Data architectures leverage fully managed cloud services to optimize processing, scalability, and cost-effectiveness.
1. Serverless Big Data Processing
- AWS Lambda: Enables event-driven data processing without managing servers.
- Google Cloud Functions: Runs lightweight, scalable processing tasks in response to events.
- Azure Functions: Allows automated execution of serverless workloads.
2. Containerized Big Data Workloads
- Kubernetes: Orchestrates containerized applications for Big Data processing.
- Docker: Packages applications with dependencies to ensure consistency.
- Apache Airflow: Automates workflows for scheduling, monitoring, and orchestrating Big Data tasks.