Titlebook: Enabling Real-Time Business Intelligence; International Worksh Malu Castellanos,Umeshwar Dayal,Nesime Tatbul Conference proceedings 2015 Sp

必死

RAG

Detecting the Temporal Context of Queries,pendence, and explore several strategies for efficiently detecting and quantifying the effects of contextual dependence on query outputs. We present and evaluate our findings in the context of a concrete case study: Detecting temporal dependence using a database management system with versioning capabilities.

白楊魚

,Towards Exploratory OLAP Over Linked Open Data – A Case Study,uild a cube. We also propose a computer-aided process for discovering previously unknown data sources and building a multidimensional schema of the cube. We present a use case to demonstrate the applicability of the approach.

Fretful

Big Scale Text Analytics and Smart Content Navigation, order to enable a responsive user experience while searching for relevant content. With HANA, we are able to implement this functionality over big data on a single machine?by making use of HANA’s SQL data store and the built-in application server.

Enteropathic

Demo: Dynamic Generation of Adaptive Real-Time Dashboards for Continuous Data Stream Processing,-time. In this demonstration, we provide different data stream sources, continuous queries and dashboard parts. With them, the user can compose his own individual presentation of his processing results.

Dappled

1865-1348 Business Intelligence for the Real-Time Enterprise, BIRTE 2013, held in Riva del Garda, Italy, in August 2013 and of the 8th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2014, held in Hangzhou, China, in September 2014, in conjunction with VLDB 2013 and 2014, t

斜坡

Robert F. Schleif,Pieter C. Wensinkesult of experiments showed that our proposal reduces more than 80?% internal steps and achieved 5 times performance improvement. To the best of our knowledge, this is the first work that applies the multiple query optimization scheme for CPD.

受傷

換話題

Building Engines and Platforms for the Big Data Age,nes, and with varying latency needs and complex application logic, requires a rethinking of both data and query processing models and software artifacts that realize such models. This paper surveys the challenges and requirements created by such workflows, and summarizes our research efforts on addr

形狀