Top Apache Beam Use Cases & Scenarios

Apache Beam is suitable for the following scenarios:

1. Stream data processing: Apache Beam offers a unified programming model for handling unbounded data streams. It can process both real-time and batch data streams, allowing for shared code logic between stream and batch processing.
2. Large data processing: Apache Beam can be used to handle massive datasets, and can run on distributed computing frameworks such as Apache Flink, Apache Spark, and more.
3. Data transformation and ETL: Apache Beam can be used for the extraction, transformation, and loading of data, converting data from one format to another and loading it into a target storage.
4. Data analysis and machine learning: Apache Beam can be utilized for carrying out tasks in data analysis and machine learning, handling complex data processing workflows and algorithms.
5. Real-time data processing: Apache Beam can handle real-time data streams, support window operations and real-time aggregation, and can be used to build real-time data processing pipelines.