alpinegizmo commented on a change in pull request #12556:
URL: https://github.com/apache/flink/pull/12556#discussion_r439331692
##########
File path: docs/index.md
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@@ -25,50 +25,60 @@ under the License.
This documentation is for Apache Flink version {{ site.version_title }}. These
pages were built at: {% build_time %}.
-Apache Flink is an open source platform for distributed stream and batch data
processing. Flink’s core is a streaming dataflow engine that provides data
distribution, communication, and fault tolerance for distributed computations
over data streams. Flink builds batch processing on top of the streaming
engine, overlaying native iteration support, managed memory, and program
optimization.
+<div class="row">
+<div class="col-sm-6" markdown="1">
-## First Steps
+### Try Flink
-* **Code Walkthroughs**: Follow step-by-step guides and implement a simple
application or query in one of Flink's APIs.
- * [Implement a DataStream application]({% link try-flink/datastream_api.md
%})
- * [Write a Table API query]({% link try-flink/table_api.md %})
+Apache Flink is an open source platform with expressive APIs for defining
stream and batch data processing jobs, and a robust and scalable engine for
executing those jobs.
-* **Docker Playgrounds**: Set up a sandboxed Flink environment in just a few
minutes to explore and play with Flink.
- * [Run and manage Flink streaming applications]({% link
try-flink/flink-operations-playground.md %})
+To quickly get a general understanding of how Flink works and what it offers
for your use case, work your way through one of these tutorials:
Review comment:
To avoid "quick" and to not repeat "hands-on", I just went with "If
you’re interested in playing around with Flink, try one of our tutorials:"
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