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

FAR

Oracle Container Engine for Kubernetes,vide services for integrating and analyzing data from public and commercial data sources. We present insights from interviews with seven established vendors about their key challenges with regard to pricing strategies in different market situations and derive associated research problems for the business intelligence community.

Euthyroid

Pricing Approaches for Data Markets,vide services for integrating and analyzing data from public and commercial data sources. We present insights from interviews with seven established vendors about their key challenges with regard to pricing strategies in different market situations and derive associated research problems for the business intelligence community.

AMOR

Conference proceedings 2013e BIRTE workshop series provides a forum to discuss and advance the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. This volume contains ten research papers, which were carefully reviewed and selected from 13 submissions.

担忧

只有

Harass

偶像

Practical: A Network-Aware Scoring Function,from source data availability to query answer compared to state-of-the-art solutions. In addition to reducing the costs for bootstrapping a scientific data warehouse, our approach also reduces the costs for loading new incoming data.

Rustproof

LATE

Real-Time Business Intelligence in the MIRABEL Smart Grid System, and flexibility data, efficient storage of time series and flexibilities, and real-time analytical query processing spanning past and future (forecasted) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system.

ABHOR

Instant-On Scientific Data Warehouses,from source data availability to query answer compared to state-of-the-art solutions. In addition to reducing the costs for bootstrapping a scientific data warehouse, our approach also reduces the costs for loading new incoming data.