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DataServiceHatch: Generating and Composing Continuous Data Services

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Abstract

In this paper, we present DataServiceHatch, a Web-based system that semi-automatically converts relational databases and stream data sources into Web Services and answers continuous queries on both traditional database tables and data streams by composing Web Services, rather than accesses databases or big data stream infrastructures directly. This can help organizations to unify the access entrance of all their data sources with just a few simple configurations and avoid exposing their data directly. DataServiceHatch also provides mechanisms to remove the need for manually writing a complex SQL-like query expression or service composition plan to answer a continuous query on data streams.

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Notes

  1. 1.

    https://github.com/declouddataservice/servicecomposition.

  2. 2.

    https://www.youtube.com/watch?v=8j0YoIWTKEo.

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Acknowledgments

This work is supported by Beijing Natural Science Foundation No. 4172018 and National Natural Science Foundation of China No. 61672042 and University Cooperation Projects Foundation of CETC Ocean Corp.

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Correspondence to Guiling Wang .

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Wang, G., Cui, T., Zuo, X., Xu, Y., Han, Y. (2019). DataServiceHatch: Generating and Composing Continuous Data Services. In: Shao, J., Yiu, M., Toyoda, M., Zhang, D., Wang, W., Cui, B. (eds) Web and Big Data. APWeb-WAIM 2019. Lecture Notes in Computer Science(), vol 11642. Springer, Cham. https://doi.org/10.1007/978-3-030-26075-0_31

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  • DOI: https://doi.org/10.1007/978-3-030-26075-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26074-3

  • Online ISBN: 978-3-030-26075-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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