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zkaoudi pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/incubator-wayang-website.git
The following commit(s) were added to refs/heads/main by this push:
new 08e7cbc0 several (incubator) naming updated (#109)
08e7cbc0 is described below
commit 08e7cbc01f356e59e81725105fb330fcdbfdb58f
Author: Alexander Alten <[email protected]>
AuthorDate: Mon Dec 8 22:32:24 2025 +0100
several (incubator) naming updated (#109)
---
README.md | 4 ++--
blog/2024-04-17-federated-ai.md | 10 +++++-----
docs/guide/getting-started.md | 3 +--
docs/guide/installation.md | 2 +-
docs/guide/usage-examples.md | 4 ++--
5 files changed, 11 insertions(+), 12 deletions(-)
diff --git a/README.md b/README.md
index 60f8e26f..1a41c5b7 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
-# Apache Wayang (incubating) Website
-The source repository for the website of Apache Wayang (incubating).
+# Apache Wayang Website
+The source repository for the website of Apache Wayang.
### Clone the website repo
diff --git a/blog/2024-04-17-federated-ai.md b/blog/2024-04-17-federated-ai.md
index 767d9fab..0888f0bb 100644
--- a/blog/2024-04-17-federated-ai.md
+++ b/blog/2024-04-17-federated-ai.md
@@ -15,13 +15,13 @@ distributed across multiple serves or devices. It does so
without centralizing d
place or storage. It also prevents the possibility of data breaches and
protects sensitive
personal data. One of the significant challenges in working with AI is the
variety of tools found
in the market or the open-source community. Each tool provides results in a
different form;
-integrating them can be pretty challenging. Let's talk about Apache Wayang
(incubating) and
+integrating them can be pretty challenging. Let's talk about Apache Wayang and
how it can help to solve this problem.
## Apache Wayang in the Federated AI world
-Apache Wayang (Wayang, for short), a project in an incubation phase at Apache
Software
-Foundation (ASF), integrates big data platforms and tools by removing the
complexity of
+Apache Wayang (Wayang, for short), an Apache Software Foundation top-level
project,
+integrates big data platforms and tools by removing the complexity of
worrying about low-level details. Interestingly, even if it was not designed
for, Wayang could
also serve as a scalable platform for federated learning: the Wayang community
is starting to
work on integrating federated learning capabilities. In a federated learning
approach, Wayang
@@ -60,7 +60,7 @@ instead of details about data processors.
### Follow Wayang
-Apache Wayang is in an incubation phase and has a potential roadmap of
implementations
+Apache Wayang is a top-level ASF project with a potential roadmap of
implementations
coming soon (including the federated learning aspect as well as an SQL
interface and a novel
data debugging functionality). If you want to hear or join the community,
consult the link
https://wayang.apache.org/community/ , join the mailing lists, contribute with
new ideas,
@@ -70,4 +70,4 @@ write documentation, or fix bugs.
##### Thank you!
I (Gláucia) want to thank professor Jorge Quiané for the guidance to write
this blog post.
-Thanks for incentivate me to join the project and for the knowledge shared. I
will always remember you.
\ No newline at end of file
+Thanks for incentivate me to join the project and for the knowledge shared. I
will always remember you.
diff --git a/docs/guide/getting-started.md b/docs/guide/getting-started.md
index 9d75022f..b8fe3c09 100644
--- a/docs/guide/getting-started.md
+++ b/docs/guide/getting-started.md
@@ -23,7 +23,7 @@ id: getting-started
-->
## Requirements
-Apache Wayang (incubating) is built upon the foundations of Java 11 and Scala
2.12, providing a robust and versatile platform for data processing
applications. If you intend to build Wayang from source, you will also need to
have Apache Maven, the popular build automation tool, installed on your system.
Additionally, be mindful that some of the processing platforms supported by
Wayang may have their own specific installation requirements.
+Apache Wayang is built upon the foundations of Java 11 and Scala 2.12,
providing a robust and versatile platform for data processing applications. If
you intend to build Wayang from source, you will also need to have Apache
Maven, the popular build automation tool, installed on your system.
Additionally, be mindful that some of the processing platforms supported by
Wayang may have their own specific installation requirements.
### Get Wayang
Apache Wayang is readily available through Maven Central, facilitating
seamless integration into your development workflow. For instance, to utilize
Wayang in your Maven-based project, simply add the following dependency to your
project's POM file:
@@ -352,4 +352,3 @@ object kmeans {
}
}
```
-
diff --git a/docs/guide/installation.md b/docs/guide/installation.md
index e23afbc0..3bb53b45 100644
--- a/docs/guide/installation.md
+++ b/docs/guide/installation.md
@@ -74,7 +74,7 @@ Then you should be able to see the output of the Wordcount
example.
# Compiling Apache Wayang
-Apache Wayang (incubating) has different dependencies, for compiling, it needs
to add some profile in the compilation to enable maven works properly.
+Apache Wayang has different dependencies, for compiling, it needs to add some
profile in the compilation to enable maven works properly.
```shell
mvn clean compile
diff --git a/docs/guide/usage-examples.md b/docs/guide/usage-examples.md
index 096bef2f..6cc7e650 100644
--- a/docs/guide/usage-examples.md
+++ b/docs/guide/usage-examples.md
@@ -21,7 +21,7 @@ id: examples
limitations under the License.
-->
-# Guide to Development and Usage with Apache Wayang (incubating)
+# Guide to Development and Usage with Apache Wayang
This section provides a set of examples to illustrate how to use Apache Wayang
for different tasks.
@@ -53,7 +53,7 @@ public class WordCount {
In combination with an encoding scheme and a third party package to load
ML models, the following example shows how to predict runtimes of query
-execution plans runtimes in Apache Wayang (incubating):
+execution plans runtimes in Apache Wayang:
```java
public class MLCost implements EstimatableCost {
