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STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion
Citation key GrulichRMSB17
Author Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba Sidló, Andras Benczur
Year 2017
Journal Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference
Volume 1810
Abstract STREAMLINE aims for improving the overall workflow of big data analytics systems. For this goal, it combines research in different areas to reduce the complexity of the work with data at rest and data in motion in a unifed fashion. As a foundation STREAMLINE offers a uniform programming model on top of Apache Flink, for which it drives innovations in a wide range of areas, such as interactive data in motion visualization and advanced window aggregation techniques.
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