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new 4cb58e7 [FLINK-17244][docs] Update the Getting Started page (#11988)
4cb58e7 is described below
commit 4cb58e747120b225bf6c2802e67bb0ca170dbf38
Author: David Anderson <[email protected]>
AuthorDate: Tue May 5 17:06:08 2020 +0200
[FLINK-17244][docs] Update the Getting Started page (#11988)
* Update docs/getting-started/index.md
---
docs/getting-started/index.md | 45 ++++++++++++++++++++++++++++++-------------
1 file changed, 32 insertions(+), 13 deletions(-)
diff --git a/docs/getting-started/index.md b/docs/getting-started/index.md
index 7d81c48..fffc502 100644
--- a/docs/getting-started/index.md
+++ b/docs/getting-started/index.md
@@ -28,21 +28,22 @@ under the License.
-->
There are many ways to get started with Apache Flink. Which one is the best for
-you depends on your goal and prior experience:
+you depends on your goals and prior experience:
-* take a look at the **Docker Playgrounds** for a docker-based introduction to
- specific Flink concepts
-* explore on of the **Code Walkthroughs** if you want to get an end-to-end
- introduction to using one of the Flink APIs
-* use **Project Setup** if you already know the basics of Flink but want to
get a
- project setup template for Java or Scala and need help setting up
- dependencies
+* take a look at the **Docker Playgrounds** if you want to see what Flink can
do, via a hands-on,
+ docker-based introduction to specific Flink concepts
+* explore one of the **Code Walkthroughs** if you want a quick, end-to-end
+ introduction to one of Flink's APIs
+* work your way through the **Hands-on Training** for a comprehensive,
+ step-by-step introduction to Flink
+* use **Project Setup** if you already know the basics of Flink and want a
+ project template for Java or Scala, or need help setting up the dependencies
### Taking a first look at Flink
The **Docker Playgrounds** provide sandboxed Flink environments that are set
up in just a few minutes and which allow you to explore and play with Flink.
-* The [**Operations
Playground**](./docker-playgrounds/flink-operations-playground.html) shows you
how to operate streaming applications with Flink. You can experience how Flink
recovers application from failures, upgrade and scale streaming applications up
and down, and query application metrics.
+* The [**Operations Playground**]({% link
getting-started/docker-playgrounds/flink-operations-playground.md %}) shows you
how to operate streaming applications with Flink. You can experience how Flink
recovers application from failures, upgrade and scale streaming applications up
and down, and query application metrics.
<!--
* The [**Streaming SQL Playground**]() provides a Flink cluster with a SQL CLI
client, tables which are fed by streaming data sources, and instructions for
how to run continuous streaming SQL queries on these tables. This is the
perfect environment for your first steps with streaming SQL.
@@ -50,12 +51,30 @@ The **Docker Playgrounds** provide sandboxed Flink
environments that are set up
### First steps with one of Flink's APIs
-The **Code Walkthroughs** are the best way to get started and introduce you
step by step to an API.
-A walkthrough provides instructions to bootstrap a small Flink project with a
code skeleton and shows how to extend it to a simple application.
+The **Code Walkthroughs** are a great way to get started quickly with a
step-by-step introduction to
+one of Flink's APIs. Each walkthrough provides instructions for bootstrapping
a small skeleton
+project, and then shows how to extend it to a simple application.
-* The [**DataStream API**](./walkthroughs/datastream_api.html) code
walkthrough shows how to implement a simple DataStream application and how to
extend it to be stateful and use timers. The DataStream API is Flink's main
abstraction to implement stateful streaming applications with sophisticated
time semantics in Java or Scala.
+* The [**DataStream API** code walkthrough]({% link
getting-started/walkthroughs/datastream_api.md %}) shows how
+ to implement a simple DataStream application and how to extend it to be
stateful and use timers.
+ The DataStream API is Flink's main abstraction for implementing stateful
streaming applications
+ with sophisticated time semantics in Java or Scala.
-* The [**Table API**](./walkthroughs/table_api.html) code walkthrough shows
how to implement a simple Table API query on a batch source and how to evolve
it into a continuous query on a streaming source. The Table API Flink's
language-embedded, relational API to write SQL-like queries in Java or Scala
which are automatically optimized similar to SQL queries. Table API queries can
be executed on batch or streaming data with identical syntax and semantics.
+* Flink's **Table API** is a relational API used for writing SQL-like queries
in Java, Scala, or
+ Python, which are then automatically optimized, and can be executed on batch
or streaming data
+ with identical syntax and semantics. The [Table API code walkthrough for
Java and Scala]({% link
+ getting-started/walkthroughs/table_api.md %}) shows how to implement a
simple Table API query on a
+ batch source and how to evolve it into a continuous query on a streaming
source. There's also a
+ similar [code walkthrough for the Python Table API]({% link
+ getting-started/walkthroughs/python_table_api.md %}).
+
+### Taking a Deep Dive with the Hands-on Training
+
+The [**Hands-on Training**]({% link training/index.md %}) is a self-paced
training course with
+a set of lessons and hands-on exercises. This step-by-step introduction to
Flink focuses
+on learning how to use the DataStream API to meet the needs of common,
real-world use cases,
+and provides a complete introduction to the fundamental concepts: parallel
dataflows,
+stateful stream processing, event time and watermarking, and fault tolerance
via state snapshots.
<!--
### Starting a new Flink application
