Real-time Business Intelligence through Compact and Efficient Query Processing Under Updates

Real-time Business Intelligence through Compact and Efficient Query Processing Under Updates

Responsive analytics are rapidly taking over the traditional data analytics dominated by the post-fact approaches in traditional data warehousing. Recent advancements in analytics demand placing analytical engines at the forefront of the system to react to updates occurring at high speed and detect...

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Bibliographic Details
Main Author: Idris, Muhammad
Other Authors: Vansummeren, Stijn
Format: Doctoral Thesis
Language:en
Published: Universite Libre de Bruxelles 2019
Subjects:
Informatique générale
Technologies de l'information et de la communication (TIC)
Business Intelligence
Databases
Data Warehouse
Query Processing
Query Execution
Real-time Analytics
Stream Processing
Complex Event Processing
Information Flow Processing
Joins
Join Trees
Main-Memory System
Inequality Joins
Theta Joins
Analytical Processing
Query Language
Acyclic Joins
Join Algorithms
Acyclicity
Online Access:https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/3/TableOfContents.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/5/contratMI.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/4/PhD-Thesis_Muhammad_Idris.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/284705

Internet

https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/3/TableOfContents.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/5/contratMI.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/4/PhD-Thesis_Muhammad_Idris.pdf
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/284705

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