What are the best practices for using Apache Beam in data engineering?
Apache Beam is a popular open-source framework for building and running data pipelines that can handle various types of data sources, processing methods, and output formats. Data engineers can use Apache Beam to write scalable and portable data applications that run on multiple execution engines, such as Apache Spark, Apache Flink, or Google Cloud Dataflow. In this article, you will learn some of the best practices for using Apache Beam in data engineering, such as how to design your pipeline, how to test and debug your code, how to optimize your performance, and how to deploy and monitor your pipeline.