At QCon SF 2016, Frances Perry and Tyler Akidau presented “Fundamentals of Stream Processing with Apache Beam”, and discussed Google's Dataflow model and associated implementation of Apache Beam.

Apache Beam provides a unified model for not only designing, but also executing (via runners), a variety of data-oriented workflows, including data processing, data ingestion, and data integration, ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

Before breaking into song, keep in mind that just as Apache YARN was spun out of MapReduce, Beam extracts the SDK and dataflow model from Google's own Cloud Dataflow service.

Talend is releasing an Apache Beam-powered solution for self-service, big data preparation with the goal of speeding time to insights. Apache Beam is a unified programming model for executing both ...

Apache Beam — the API portion of Dataflow — is an Apache Software Foundation incubation project. Beam supports Spark, Flink, and Google Cloud Dataflow as execution engines.

Apache Beam has emerged as a powerful new framework for building and running batch and streaming applications in a unified manner. In its first iteration, it offered APIs for Java and Python. Thanks ...

Dataflow is a paid service, but the platform’s API was recently accepted as an incubator project with the Apache Software Foundation under the name Apache Beam, following a submission earlier ...

Apache Beam is a stream processor, helping developers migrate work between different processes to offload work onto runners that leverage external resources.

Google today announced that it has made a proposal to submit its Dataflow data processing technology to the Apache Software Foundation (ASF) in order to make Dataflow an Apache incubator project ...