| Submission declined on 18 April 2024 by
Xkalponik (
talk). This submission is not adequately supported by
reliable sources. Reliable sources are required so that information can be
verified. If you need help with referencing, please see
Referencing for beginners and
Citing sources. This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
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|  |
| Submission declined on 8 September 2023 by
Stuartyeates (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
| |
| Submission declined on 7 July 2023 by
KylieTastic (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
| |
| Submission declined on 7 July 2023 by
Theroadislong (
talk). This submission appears to
read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's
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Comment: Not clear whether these publications are independent. Also unclear on the relationship to 'Rheem'
Stuartyeates (
talk) 19:28, 8 September 2023 (UTC)
- Comment: The title of this draft either has been disambiguated or will require disambiguation if accepted.If this draft is accepted, a hatnote will need to be added to the primary page to refer to this page. If there is already a hatnote on the primary page, please review whether a disambiguation page is in order instead.The primary page is
Wayang.
Robert McClenon (
talk) 17:18, 26 July 2023 (UTC)
 | |
| Stable release | 0.6
|
|---|---|
| Repository | https://github.com/apache/incubator-wayang |
| Written in | Java |
| Platform | Cross-platform |
| License | Apache License 2.0 |
| Website |
wayang |
Apache Wayang is an open-source cross-platform data processing system for unified data analytics [1]. Wayang provides a meta-processing framework that allows users to develop and run analytics seamlessly on multiple data processing engines such as Apache Spark, Apache Flink, Java Streams, and PostgreSQL. Originally started as the Rheem project [2] at the Qatar Computing Research Institute (QCRI), the codebase was later renamed to Wayang and was donated to the Apache Software Foundation, where the project is under incubation.
Architecture
Wayang has a three-layer architecture:
- The application layer models all application-specific logic
- The core layer provides the intermediate representation between applications and processing platforms
- The platform layer connects and executes the underlying processing platform tasks
Features
Wayang supports the following data processing platforms:
See also
References
- ^ Beedkar, Kaustubh; Contreras-Rojas, Bertty; Gavriilidis, Haralampos; Kaoudi, Zoi; Markl, Volker; Pardo-Meza, Rodrigo; Quiané-Ruiz, Jorge-Arnulfo (2023-11-02). "Apache Wayang: A Unified Data Analytics Framework". ACM SIGMOD Record. 52 (3): 30–35. doi: 10.1145/3631504.3631510. ISSN 0163-5808. S2CID 260235507.
- ^ Agrawal, Divy; Chawla, Sanjay; Contreras-Rojas, Bertty; Elmagarmid, Ahmed; Idris, Yasser; Kaoudi, Zoi; Kruse, Sebastian; Lucas, Ji; Mansour, Essam; Ouzzani, Mourad; Papotti, Paolo; Quiané-Ruiz, Jorge-Arnulfo; Tang, Nan; Thirumuruganathan, Saravanan; Troudi, Anis (2018-07-01). "RHEEM: enabling cross-platform data processing: may the big data be with you!". Proceedings of the VLDB Endowment. 11 (11): 1414–1427. doi: 10.14778/3236187.3236195. ISSN 2150-8097. S2CID 51994386.
| Submission declined on 18 April 2024 by
Xkalponik (
talk). This submission is not adequately supported by
reliable sources. Reliable sources are required so that information can be
verified. If you need help with referencing, please see
Referencing for beginners and
Citing sources. This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
| |
| Submission declined on 8 September 2023 by
Stuartyeates (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
| |
| Submission declined on 7 July 2023 by
KylieTastic (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
| |
| Submission declined on 7 July 2023 by
Theroadislong (
talk). This submission appears to
read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's
verifiability policy and the
notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. | |
- Comment: Not clear whether these publications are independent. Also unclear on the relationship to 'Rheem'
Stuartyeates (
talk) 19:28, 8 September 2023 (UTC)
- Comment: The title of this draft either has been disambiguated or will require disambiguation if accepted.If this draft is accepted, a hatnote will need to be added to the primary page to refer to this page. If there is already a hatnote on the primary page, please review whether a disambiguation page is in order instead.The primary page is
Wayang.
Robert McClenon (
talk) 17:18, 26 July 2023 (UTC)
|
| |
| Stable release | 0.6
|
|---|---|
| Repository | https://github.com/apache/incubator-wayang |
| Written in | Java |
| Platform | Cross-platform |
| License | Apache License 2.0 |
| Website |
wayang |
Apache Wayang is an open-source cross-platform data processing system for unified data analytics [1]. Wayang provides a meta-processing framework that allows users to develop and run analytics seamlessly on multiple data processing engines such as Apache Spark, Apache Flink, Java Streams, and PostgreSQL. Originally started as the Rheem project [2] at the Qatar Computing Research Institute (QCRI), the codebase was later renamed to Wayang and was donated to the Apache Software Foundation, where the project is under incubation.
Architecture
Wayang has a three-layer architecture:
- The application layer models all application-specific logic
- The core layer provides the intermediate representation between applications and processing platforms
- The platform layer connects and executes the underlying processing platform tasks
Features
Wayang supports the following data processing platforms:
See also
References
- ^ Beedkar, Kaustubh; Contreras-Rojas, Bertty; Gavriilidis, Haralampos; Kaoudi, Zoi; Markl, Volker; Pardo-Meza, Rodrigo; Quiané-Ruiz, Jorge-Arnulfo (2023-11-02). "Apache Wayang: A Unified Data Analytics Framework". ACM SIGMOD Record. 52 (3): 30–35. doi: 10.1145/3631504.3631510. ISSN 0163-5808. S2CID 260235507.
- ^ Agrawal, Divy; Chawla, Sanjay; Contreras-Rojas, Bertty; Elmagarmid, Ahmed; Idris, Yasser; Kaoudi, Zoi; Kruse, Sebastian; Lucas, Ji; Mansour, Essam; Ouzzani, Mourad; Papotti, Paolo; Quiané-Ruiz, Jorge-Arnulfo; Tang, Nan; Thirumuruganathan, Saravanan; Troudi, Anis (2018-07-01). "RHEEM: enabling cross-platform data processing: may the big data be with you!". Proceedings of the VLDB Endowment. 11 (11): 1414–1427. doi: 10.14778/3236187.3236195. ISSN 2150-8097. S2CID 51994386.