Titlebook: Advances in Spatial and Temporal Databases; 15th International S Michael Gertz,Matthias Renz,Siva Ravada Conference proceedings 2017 Spring

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GeoWave: Utilizing Distributed Key-Value Stores for Multidimensional Dataguous in the single dimensional keys of the datastore. By using various forms of geospatial data, we show that preserving locality in this way reduces the time needed to query, analyze, and render large amounts of data by multiple orders of magnitude.

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GeoWave: Utilizing Distributed Key-Value Stores for Multidimensional Datadue to the implicit challenges of spatial and spatiotemporal data. Chief among these issues is preserving locality between multidimensional objects and the single dimensional sort order imposed by key-value stores. We will use the open source framework GeoWave to harness the scalability of various d

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Sweeping-Based Temporal Aggregationsal index for temporal database systems. Here we present a family of plane-sweeping algorithms that extend the set of operators supported by Timeline-Index-based databases to temporal aggregation on fixed intervals, such as a sliding windows or GROUP BY ROLLUP aggregation, and improve the existing a

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