AWS Kinesis or AWS Data Streams

AWS Kinesis and AWS Data Streams refer to the same service, with "AWS Kinesis Data Streams" being the full name. It's a service designed for real-time data streaming, allowing you to collect, process, and analyze data as it arrives.

Key Features:

• Real-Time Processing: Allows ingestion and processing of large streams of data in real-time.
• Scalability: Easily scales to handle any volume of streaming data.
• Integration: Can be integrated with other AWS services like AWS Lambda, Amazon S3, and AWS Redshift for processing and storing data.

Common Use Cases:

• Real-Time Analytics: Analyzing data as it arrives to generate insights on the fly.
• Event Tracking: Tracking user interactions in real-time for monitoring and personalization.
• Log and Metrics Ingestion: Collecting logs and metrics from distributed applications for centralized processing.

In an ETL pipeline, Kinesis Data Streams can be used in the "Extract" phase to collect data from various sources and provide it in real-time for further processing.