منابع مشابه
Enabling Real Time Data Analysis
Network-based services are becoming a ubiquitous part of our lives, to the point where individuals and businesses have often come to critically rely on them. Building and maintaining such reliable, high performance network and service infrastructures requires the ability to rapidly investigate and resolve complex service and performance impacting issues. To achieve this, it is important to coll...
متن کاملEnabling Real Time Analytics over Raw XML Data
The data generated by many applications is in semi structured format, such as XML. This data can be used for analytics only after shredding and storing 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 ...
متن کاملEnabling the Real-Time City: LIVE Singapore!
The increasing pervasiveness of urban systems and networks utilizing digital technologies for their operation generates enormous amounts of digital traces capable of reflecting in real-time how people make use of space and infrastructures in the city. This is not only transforming how we study, design, and manage cities but opens up new possibilities for tools that give people access to up-to-d...
متن کاملReal-time data and business cycle analysis
This paper examines the consequences of using “real-time” data for business cycle analysis in Germany based on a novel data set covering quarterly real output data from 1968 to 2001. Real-time output gaps are calculated. They differ considerably from their counterparts based on the most recent data. Moreover, they are not rational forecasts of the final series. The consequences of using real-ti...
متن کاملImprovement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation
A real-time data warehouse is a collection of recent and hierarchical data that is used for managers’ decision-making by creating online analytical queries. The volume of data collected from data sources and entered into the real-time data warehouse is constantly increasing. Moreover, as the volume of input data to the real time data warehouse increases, the interference between online loading ...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2010
ISSN: 2150-8097
DOI: 10.14778/1920841.1920843