Cloud Dataflow comes with a Unified Programming Model, offering MapReduce-like operations through Apache Beam. We have very powerful data windowing and fine-grained correctness control for streaming and batch data. This makes Cloud Dataflow a very strong service in GCP.
When working with Cloud Dataflow, other aspects before choosing it can be the capacity of Dataflow to handle fault-tolerant execution with consistency and correctness irrespective of data size, cluster size, processing pattern, or pipeline complexity.
We can also integrate Dataflow with Stackdriver, GCP's unified logging, error reporting, debugging, and monitoring solutions, therefore allowing monitoring and troubleshooting pipelines on the go.
We can also ...
