apache-beam
What is Apache Beam? [closed]
Apache Beam is an open source, unified model for defining and executing both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and runtime-specific Runners for executing them. History: The model behind Beam evolved from a number of internal Google data processing projects, including MapReduce, FlumeJava, and … Read more
Explain Apache Beam python syntax
Operators in Python can be overloaded. In Beam, | is a synonym for apply, which applies a PTransform to a PCollection to produce a new PCollection. >> allows you to name a step for easier display in various UIs — the string between the | and the >> is only used for these display purposes … Read more
Apache Airflow or Apache Beam for data processing and job scheduling
The other answers are quite technical and hard to understand. I was in your position before so I’ll explain in simple terms. Airflow can do anything. It has BashOperator and PythonOperator which means it can run any bash script or any Python script. It is a way to organize (setup complicated data pipeline DAGs), schedule, … Read more
What are the benefits of Apache Beam over Spark/Flink for batch processing?
There’s a few things that Beam adds over many of the existing engines. Unifying batch and streaming. Many systems can handle both batch and streaming, but they often do so via separate APIs. But in Beam, batch and streaming are just two points on a spectrum of latency, completeness, and cost. There’s no learning/rewriting cliff … Read more