Titlebook: Real-Time Business Intelligence and Analytics; International Worksh Malu Castellanos,Panos K. Chrysanthis,Konstantinos Conference proceedin

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Enabling Real Time Analytics over Raw XML Datag it in structured format. This process is known as Extract-Transform-Load or ETL. However, ETL process is often time consuming due to which crucial time-sensitive insights can be lost or they may become un-actionable. Hence, this paper poses the following question: How do we expose analytical insig

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CAGE

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Towards Interactive Data Explorationwork, we first argue why existing analytics infrastructures do not support interactive data exploration and outline the challenges and opportunities of building a system specifically designed for interactive data exploration. Furthermore, we present the results of building ., a new type of system fo

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DCS: A Policy Framework for the ,etection of ,orrelated Data ,treamso be processed within a specified delay target in order for the analysis to lead to actionable result. To this end, in this paper, we present an effective solution for detecting the correlation of such data streams within a micro-batch of a fixed time interval. Our solution, coined DCS, for .etectio

Interlocking

Towards Dynamic Data Placement for Polystore Ingestionations. In these architectures, heterogeneous workloads with data ingestion and analytical queries must be executed with strict performance guarantees. Furthermore, the data warehouse may consists of multiple different types of storage engines (a.k.a., polystores or multi-stores). A paramount proble

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A Federated In-memory Database System for Life Scienceslized computing resources to form a federated in-memory database system. Our approach combines advantages of cloud computing, such as efficient use of hardware resources and provisioning of managed software, whilst sensitive data are stored and processed on local hardware only.

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RILCA: Collecting and Analyzing User-Behavior Information in Instant Search Using Relational DBMSilities of the DBMS system to analyze the log records efficiently. We study how to use a dashboard to monitor and analyze log records in real time. We conducted experiments on real data sets collected from two live systems to show the benefits and efficiency of these techniques.

Cumulus

Towards Interactive Data Explorationre their data instantly without expensive data preparation costs. Finally, we discuss other important considerations for interactive data exploration systems including benchmarking, natural language interfaces, as well as interactive machine learning.