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README.md

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# Apache Wayang (incubating) Website
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The source repository for the website of Apache Wayang (incubating).
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# Apache Wayang Website
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The source repository for the website of Apache Wayang.
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### Clone the website repo
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blog/2024-04-17-federated-ai.md

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place or storage. It also prevents the possibility of data breaches and protects sensitive
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personal data. One of the significant challenges in working with AI is the variety of tools found
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in the market or the open-source community. Each tool provides results in a different form;
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integrating them can be pretty challenging. Let's talk about Apache Wayang (incubating) and
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integrating them can be pretty challenging. Let's talk about Apache Wayang and
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how it can help to solve this problem.
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## Apache Wayang in the Federated AI world
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Apache Wayang (Wayang, for short), a project in an incubation phase at Apache Software
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Foundation (ASF), integrates big data platforms and tools by removing the complexity of
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Apache Wayang (Wayang, for short), an Apache Software Foundation top-level project,
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integrates big data platforms and tools by removing the complexity of
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worrying about low-level details. Interestingly, even if it was not designed for, Wayang could
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also serve as a scalable platform for federated learning: the Wayang community is starting to
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work on integrating federated learning capabilities. In a federated learning approach, Wayang
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### Follow Wayang
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Apache Wayang is in an incubation phase and has a potential roadmap of implementations
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Apache Wayang is a top-level ASF project with a potential roadmap of implementations
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coming soon (including the federated learning aspect as well as an SQL interface and a novel
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data debugging functionality). If you want to hear or join the community, consult the link
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https://wayang.apache.org/community/ , join the mailing lists, contribute with new ideas,
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##### Thank you!
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I (Gláucia) want to thank professor Jorge Quiané for the guidance to write this blog post.
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Thanks for incentivate me to join the project and for the knowledge shared. I will always remember you.
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Thanks for incentivate me to join the project and for the knowledge shared. I will always remember you.

docs/guide/getting-started.md

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## Requirements
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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.
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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.
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### Get Wayang
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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:
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}
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}
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```
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docs/guide/installation.md

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# Compiling Apache Wayang
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Apache Wayang (incubating) has different dependencies, for compiling, it needs to add some profile in the compilation to enable maven works properly.
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Apache Wayang has different dependencies, for compiling, it needs to add some profile in the compilation to enable maven works properly.
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```shell
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mvn clean compile

docs/guide/usage-examples.md

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limitations under the License.
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# Guide to Development and Usage with Apache Wayang (incubating)
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# Guide to Development and Usage with Apache Wayang
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This section provides a set of examples to illustrate how to use Apache Wayang for different tasks.
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In combination with an encoding scheme and a third party package to load
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ML models, the following example shows how to predict runtimes of query
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execution plans runtimes in Apache Wayang (incubating):
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execution plans runtimes in Apache Wayang:
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```java
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public class MLCost implements EstimatableCost {

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