Google Cloud Dataflow at a glance

Google Cloud Dataflow is a powerful and fully managed service for executing ETL pipelines. It allows developers to focus on data processing logic without worrying about infrastructure management. Dataflow offers a unified programming model based on Apache Beam, enabling consistent ETL development across batch and streaming data processing scenarios.

The key features of Google Cloud Dataflow are as follows:

• Scalability: Dataflow automatically scales resources based on the input data size and processing requirements. It can handle data processing tasks ranging from small to petabyte-scale datasets, ensuring efficient ETL operations without the need for manual resource provisioning.
• Fault tolerance: Dataflow ensures fault tolerance by automatically recovering from failures and providing reliable data processing. It divides the input data into small, parallelizable chunks and distributes them across multiple compute resources. In case of...