提交 e0ab5f52 编写于 作者: D David Anderson 提交者: Greg Hogan

[FLINK-6438] [docs] Added a few links to the docs home page, and made some other small adjustments.

This closes #3823
上级 a1ec7616
......@@ -33,9 +33,13 @@ Apache Flink is an open source platform for distributed stream and batch data pr
- **Concepts**: Start with the basic concepts of Flink's [Dataflow Programming Model](concepts/programming-model.html) and [Distributed Runtime Environment](concepts/runtime.html). This will help you to fully understand the other parts of the documentation, including the setup and programming guides. It is highly recommended to read these sections first.
- **Quickstarts**: [Run an example program](quickstart/setup_quickstart.html) on your local machine or [write a simple program](quickstart/run_example_quickstart.html) working on live Wikipedia edits.
- **Quickstarts**: [Run an example program](quickstart/setup_quickstart.html) on your local machine or [study some examples](examples/index.html).
- **Programming Guides**: You can check out our guides about [basic concepts](dev/api_concepts.html) and the [DataStream API](dev/datastream_api.html) or [DataSet API](dev/batch/index.html) to learn how to write your first Flink programs.
- **Programming Guides**: You can check out our guides about [basic API concepts](dev/api_concepts.html) and the [DataStream API](dev/datastream_api.html) or [DataSet API](dev/batch/index.html) to learn how to write your first Flink programs.
## Deployment
Before putting your Flink job into production, be sure to read the [Production Readiness Checklist](ops/production_ready.html).
## Migration Guide
......@@ -44,3 +48,12 @@ While all parts of the API that were marked as public and stable are still suppo
newer interfaces where applicable.
For users that plan to upgrade a Flink system in production, we recommend reading the guide on [upgrading Apache Flink](ops/upgrading.html).
## External Resources
- **Flink Forward**: Talks from past conferences are available at the [Flink Forward](http://flink-forward.org/) website and on [YouTube](https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA). [Robust Stream Processing with Apache Flink](http://berlin.flink-forward.org/kb_sessions/robust-stream-processing-with-apache-flink/) is a good place to start.
- **Training**: The [training materials](http://dataartisans.github.io/flink-training/) from data Artisans include slides, exercises, and sample solutions.
- **Blogs**: The [Apache Flink](https://flink.apache.org/blog/) and [data Artisans](https://data-artisans.com/blog/) blogs publish frequent,
in-depth technical articles about Flink.
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