This product is a FIWARE Generic Enabler. If you would like to learn about the overall Roadmap of FIWARE, please check section "Roadmap" on the FIWARE Catalogue.
This section elaborates on proposed new features or tasks which are expected to be added to the product in the foreseeable future. There should be no assumption of a commitment to deliver these features on specific dates or in the order given. The development team will be doing their best to follow the proposed dates and priorities, but please bear in mind that plans to work on a given feature or task may be revised. All information is provided as a general guideline only, and this section may be revised to provide newer information at any time.
The following list of features are planned to be addressed in the short term, and incorporated in the next release of the product:
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Automatic subscription: Enhance the Spark connector to handle all the subscriptions to entities from the connector itself.
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Spark 3.0: Provide support for Spark 3.0+.
The following list of features are planned to be addressed in the medium term, typically within the subsequent release(s) generated in the next 9 months after next planned release:
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Integration in research/learning environments: Integrate the connector within Apache Zeppelin to analyze and visualize streaming data.
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Data usage: Support the Spark processing engine within the FIWARE data usage control framework.
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Docker images: Provide FIWARE Docker images to facilitate the deployment of a complete big data processing scenario.
The following list of features are proposals regarding the longer-term evolution of the product even though development of these features has not yet been scheduled for a release in the near future. Please feel free to contact us if you wish to get involved in the implementation or influence the roadmap:
- Apache Ranger and Atlas: Study the suitability of using these technologies for streaming scenarios.