Repository: incubator-beam Updated Branches: refs/heads/master 66d726aa2 -> 33b18b173
Change in documentation URL Fixes a broken link Project: http://git-wip-us.apache.org/repos/asf/incubator-beam/repo Commit: http://git-wip-us.apache.org/repos/asf/incubator-beam/commit/b90f71ae Tree: http://git-wip-us.apache.org/repos/asf/incubator-beam/tree/b90f71ae Diff: http://git-wip-us.apache.org/repos/asf/incubator-beam/diff/b90f71ae Branch: refs/heads/master Commit: b90f71ae57309627c8e10b46b641d04b57de2253 Parents: 66d726a Author: srinikhil <srinikhi...@gmail.com> Authored: Thu Jul 7 11:36:54 2016 +0530 Committer: Dan Halperin <dhalp...@google.com> Committed: Thu Jul 7 08:35:16 2016 -0700 ---------------------------------------------------------------------- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/b90f71ae/README.md ---------------------------------------------------------------------- diff --git a/README.md b/README.md index ec89c4d..798c12b 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ [Apache Beam](http://beam.incubator.apache.org) is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends like [Apache Spark](http://spark.apache.org/), [Apache Flink](http://flink.apache.org), and [Google Cloud Dataflow](http://cloud.google.com/dataflow). -## Status +## Status _**The Apache Beam project is in the process of bootstrapping. This includes the creation of project resources, the refactoring of the initial code submissions, and the formulation of project documentation, planning, and design documents. Please expect a significant amount of churn and breaking changes in the near future.**_ @@ -41,7 +41,7 @@ Beam provides a general approach to expressing [embarrassingly parallel](https:/ ### The Beam Model -The model behind Beam evolved from a number of internal Google data processing projects, including [MapReduce](http://research.google.com/archive/mapreduce.html), [FlumeJava](http://research.google.com/pubs/pub35650.html), and [Millwheel](http://research.google.com/pubs/pub41378.html). This model was originally known as the â[Dataflow Model](http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf)â. +The model behind Beam evolved from a number of internal Google data processing projects, including [MapReduce](http://research.google.com/archive/mapreduce.html), [FlumeJava](http://research.google.com/pubs/pub35650.html), and [Millwheel](http://research.google.com/pubs/pub41378.html). This model was originally known as the â[Dataflow Model](http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf)â. To learn more about the Beam Model (though still under the original name of Dataflow), see the World Beyond Batch: [Streaming 101](https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-101) and [Streaming 102](https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102) posts on OâReillyâs Radar site, and the [VLDB 2015 paper](http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf). @@ -55,7 +55,7 @@ The key concepts in the Beam programming model are: ### SDKs -Beam supports multiple language specific SDKs for writing pipelines against the Beam Model. +Beam supports multiple language specific SDKs for writing pipelines against the Beam Model. Currently, this repository contains the Beam Java SDK, which is in the process of evolving from the [Dataflow Java SDK](https://github.com/GoogleCloudPlatform/DataflowJavaSDK). The [Dataflow Python SDK](https://github.com/GoogleCloudPlatform/DataflowPythonSDK) will also become part of Beam in the near future. @@ -98,4 +98,4 @@ To get involved in Apache Beam: ## More Information * [Apache Beam](http://beam.incubator.apache.org) -* [Apache Beam Documentation](http://beam.incubator.apache.org/documentation) +* [Getting Started with Apache Beam](http://beam.incubator.apache.org/getting_started/)
