What is the role of Apache Beam in the TFX framework?
Sunday, 06 August 2023
by EITCA Academy
Apache Beam is an open-source unified programming model that provides a powerful framework for building batch and streaming data processing pipelines. It offers a simple and expressive API that allows developers to write data processing pipelines that can be executed on various distributed processing backends, such as Apache Flink, Apache Spark, and Google Cloud Dataflow.
How does TFX leverage Apache Beam in ML engineering for production ML deployments?
Saturday, 05 August 2023
by EITCA Academy
Apache Beam is a powerful open-source framework that provides a unified programming model for both batch and streaming data processing. It offers a set of APIs and libraries that enable developers to write data processing pipelines that can be executed on various distributed processing backends, such as Apache Flink, Apache Spark, and Google Cloud Dataflow.
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow Extended (TFX), ML engineering for production ML deployments with TFX, Examination review
Tagged under:
Apache Beam, Artificial Intelligence, Data Processing, ML Engineering, Production ML Deployments, TFX