Titlebook: Enabling Real-Time Business Intelligence; 6th International Wo Malu Castellanos,Umeshwar Dayal,Elke A. Rundenstei Conference proceedings 20

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Data Mining in Life Sciences: A Case Study on SAPs In-Memory Computing Engine,nducted a case study in the area of proteomics research. As part of this study, we implemented a proteomics analysis pipeline in HANA. We also implemented a flexible data analysis toolbox that can be used by life sciences researchers to easily design and evaluate their analysis models.

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Real-Time Business Intelligence in the MIRABEL Smart Grid System,r growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intellig

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Instant-On Scientific Data Warehouses,e. Similar to classical Extract, Transform and Load (ETL) processes, data is loaded entirely from external data sources (repositories) into a scientific data warehouse before it can be analyzed. This process is both, time and resource intensive and may not be entirely necessary if only a subset of t

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