Amazon Data Firehose
Amazon Data Firehose is a fully managed service for data ingestion in near real-time. It captures, transforms, and loads streaming data into data lakes, warehouses, and analytics services with automatic provisioning and scaling.
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- Data ingestion involves moving data from source systems into your chosen storage solution.
- Use real-time ingestion when the data is needed immediately. Use batch ingestion when some latency is tolerable.
Core Benefits​
- Simplified Ingestion: Easily load streaming data to destinations like S3, Redshift, and OpenSearch without writing code.
- Near Real-Time Delivery: Delivers data within seconds, enabling timely analysis and monitoring.
- Built-in Transformation: Supports on-the-fly data conversion (e.g., JSON to Parquet) and transformation with AWS Lambda.
Role in Data Pipeline​
Data Ingestion: Acts as a simple, reliable bridge to load streaming data from sources directly into storage or analytics destinations, often serving as the delivery mechanism for Kinesis Data Streams.
Use Cases​
- IoT Data Loading: Streaming sensor data directly into an Amazon S3 data lake for archival and analysis.
- Log Delivery: Delivering application logs from thousands of sources to Amazon OpenSearch Service for real-time monitoring.
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Firehose is the simplest way to reliably load streaming data into AWS destinations, handling all the scaling, batching, and delivery logistics automatically.
Use case: Ideal for streaming ETL pipelines that need to reliably deliver data to storage or analytics tools with minimal management.