2013

paper

english

EN Online or real-time BI has remained elusive despite significant efforts by academic and industrial research. Some of the most prominent problems in accomplishing faster turnaround are related to the data ingest. The process of extracting data from source systems, transforming, and loading (ETL) it is often bottlenecked by architectural choices and fragmentation of the processing chain. In this paper, we present a vision for a resource-efficient infrastructure that enables just-in-time processing with regards to data ingest. At the heart of our approach are (1) the converting of compute intensive parts of the ETL process into in-database processing and (2) the activating of the process on demand via a system of flexible views. Our approach avoids processing of data that is not being accessed any time soon, scales effectively with the database system and avoids administration and management overhead.

50 - 59

10.1007/978-3-642-39872-8_4

https://link.springer.com/chapter/10.1007/978-3-642-39872-8_4

Enabling real-time business intelligence : International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012 : revised selected papers

6th International Workshop Enabling Real-Time Business Intelligence, BIRTE 2012, 27.08.2012, Istanbul, Turkey

WoS (15)