Cloud Dataflow

Cloud Dataflow is one of the first services we are going to learn in this chapter. It is a fully managed service that transforms data in the streams and batches while providing equal reliability.

You can develop a simplified and fast pipeline in Cloud Dataflow. We can express Cloud Dataflow in Java and the Python API in the Apache Beam SDK.

When to use

We have multiple uses of the Cloud Dataflow service in Google Cloud Platform.

We can use it for clickstream, point-of-sale, and segmentation analysis in retail. Cloud Dataflow can help the company getting the data to analyze it on the go and take important business decisions.

Another use case can be fraud detection in financial services. We can have Cloud Pub/Sub helping in gathering data from multiple data sources, which can increase the efficiency of fraud detection and accuracy.

You can also use Dataflow to provide personalized user experience in gaming to millions of users depending on their behavior.

IoT also generates huge data...