Google Cloud Dataflow is a fully-managed service for transforming and enriching data as a stream or in batch mode, using Java and Python APIs with the Apache Beam software development kit. It provides a serverless architecture that can shard and process large datasets or high-volume live streams of data in parallel. A Dataflow template is an Apache Beam pipeline written in Java or Python, allowing users to execute pre-built pipelines while specifying their own data, environment, or parameters. Google Cloud Dataflow supports various native managed services that drive real-time user experiences. The custom template introduced in this tutorial ingests data through Google Cloud Pub/Sub to a Redis Enterprise database as key-value strings. Support for other data types is planned for future development.