Titlebook: Big Data Analytics and Knowledge Discovery; 21st International C Carlos Ordonez,Il-Yeol Song,Ismail Khalil Conference proceedings 2019 Spri

作茧自缚

受辱

Democratization of OLAP DSMSing data and exposed the need for every organization to exploit it. This paper reviews the evolution of Data Stream Management Systems (DSMS) and the convergence into Online Analytical Processing (OLAP) DSMS. The discussion is focused on three current solutions: Scuba, Apache Druid, and Apache Pinot

NUL

Leveraging the Data Lake: Current State and Challenges exploit these complex data for competitive advantages, the data lake recently emerged as a concept for more flexible and powerful data analytics. However, existing literature on data lakes is rather vague and incomplete, and the various realization approaches that have been proposed neither cover a

Decrepit

SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoopnd guiding the physical design of a data warehouse. In big data warehouses, the most expensive operation of an OLAP query is the star join, which requires many Spark stages. In this paper, we propose a new data placement strategy in the Apache Hadoop environment called “Smart Data Warehouse Placemen

冬眠

Improved Programming-Language Independent MapReduce on Shared-Memory Systemsa sets. However, modern data processing runtimes, implementing the MapReduce programming paradigm, do not generally support the use of arbitrary programming languages. Access to programming-language independent data processing can offer great value to organizations as it enables leveraging existing

Dedication

Crohns-disease

https://doi.org/10.1007/978-1-4842-9234-1tomatically assessed with a statistical . test. Experimental results, on both synthetic and real-life data, show that our method is more suitable for sensor interval streams and provides more precise information in comparison with existing approaches.

音乐学者

https://doi.org/10.1007/978-1-4842-9234-1lakes, such as governance or data models. Based on these insights, we identify challenges and research gaps concerning (1) data lake architecture, (2) data lake governance, and (3) a comprehensive strategy to realize data lakes. These challenges still need to be addressed to successfully leverage the data lake in practice.

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Anticoagulants

Detecting the Onset of Machine Failure Using Anomaly Detection Methodsresults show that the majority of the tested algorithms can achieve a F1-score of more than 0.9. Successfully detecting failures as they begin to occur promises to address key issues in maintenance like safety and cost effectiveness.