How To Run a GCP Dataflow Pipeline From Local Machine
An Example Java Project With Apache Beam Programming Model
GCP Dataflow is a Unified stream and batch data processing that’s serverless, fast, and cost-effective. It is a fully managed data processing service and many other features which you can find on its website here. Apache Beam is an advanced unified programming model that implements batch and streaming data processing jobs that run on any execution engine. GCP dataflow is one of the runners that you can choose from when you run data processing pipelines.
In this post, we will see how we can get started with Apache Beam with a simple Java example project. We will start with a simple project and see how to integrate with Apache Beam and run it on Google Cloud Platform with GCP Dataflow Runner.
- Prerequisites
- How to get started with Apache Beam
- Example Project
- Implementation
- Running on Local Machine
- Running on GCP Dataflow
- Summary
- Conclusion
Prerequisites
There are some prerequisites for this project such as Apache Maven, Java SDK, and some IDE. You need to install all these…
