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Data loading layer, transforming input data objects to common data model.

Data loading layer, transforming input data objects to common data model.

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... system registers a query at the real-time endpoint, returning the complete state of objects when any matching element changes. Figure 4 shows the loading structure of multiple data sources in which the í µí¼Ž-layer allocates using the individual wrapper implementation. Therefore, each wrapper implements the native interface of the source and exposes a scan operation and selection (í µí¼Ž) filter. ...


... S5. Complex Analysis: In addition to simple queries and data browsing along the different dimensions [44], various kinds of complex analyses such as k-means and correlation analysis are beneficial in a scientific context. For the case of traffic simulations where graphs are used to represent the road network, graph analyzes should be possible as well. ...
Nowadays, data-intensive applications face the problem of handling heterogeneous data with sometimes mutually exclusive use cases and soft non-functional goals such as consistency and availability. Since no single platform copes everything, various stores (RDBMS, NewSQL, NoSQL) for different workloads and use-cases have been developed. However, since each store is only a specialization, this motivates progress in polyglot data management emerged new systems called Mult- and Polystores. They are trying to access different stores transparently and combine their capabilities to achieve one or multiple given use-cases. This paper describes representative real-world use cases for data-intensive applications (OLTP and OLAP). It derives a set of requirements for polyglot data stores. Subsequently, we discuss the properties of selected Multi- and Polystores and evaluate them based on given needs illustrated by three common application use cases. We classify them into functional features, query processing technique, architecture and adaptivity and reveal a lack of capabilities, especially in changing conditions tightly integration. Finally, we outline the benefits and drawbacks of the surveyed systems and propose future research directions and current challenges in this area.