Extreme Performance with Oracle Data Warehousing Andreas Katsaris Data warehouse and BI Practice Manager, Arisant LLC.
Barry Hodges Senior Solution Architect, Sales Consulting, Oracle NZ The Best of Oracle Open World 2008.
Exadata 11-2-overview-v2 11
The End of an Architectural Era Shimin Chen (Big Data Reading Group) (many slides are copied from Stonebraker’s presentation)
SUPPORTING SQL QUERIES FOR SUBSETTING LARGE- SCALE DATASETS IN PARAVIEW SC’11 UltraVis Workshop, November 13, 2011 Yu Su*, Gagan Agrawal*, Jon Woodring†
By N.Gopinath AP/CSE. Two common multi-dimensional schemas are 1. Star schema: Consists of a fact table with a single table for each dimension 2. Snowflake.
As quick as you think! 06 Paul Landucci Stéphane Coez.
Science Problem: Cognitive capacity (human/scientist understanding), storage and I/O have not kept up with our capacity to generate massive amounts physics-based.
Automatic Data Selection for In Situ Analysis
The End of an Architectural Era
