| 9:00-9:10
Opening |
| . |
|
Toby
J. Teorey, Univ. of Michigan
|
| . |
| 9:10-10:00
Keynote Speech |
| . |
|
Nick
Roussopoulos,
Univ. of Maryland
Data
Warehousing: Don't tell me how fast your
queries are.
Tell me how fast your updates are.
Several data warehouse products can do fast
queries. Data clustering,
bitmap indexes, and summary tables are tools
providing reasonable query performance.
However, the real issue is the speed of
updates. How fast can they be? Can these
tools handle updates at bulk rates? In this
talk I will examine issues, requirements,
and techniques for fast and bulk incremental
updates. I will then describe the
Cubetree Data Warehouse project at the University
of Maryland, the research issues
we focused, the Cubetree Storage Organization,
the implemented system, and its
benchmarked update rates in excess of 30GB
per hour.
|
| . |
| 10:00-10:15
Break |
| . |
| 10:15-12:00
Session 1: Data Warehousing Design |
| . |
|
starER:
A conceptual Model for Data Warehouse Design
Nectaria
Tryfona, Frank Busborg, and Jens G. Borch
Christiansen
Event-Entity-Relationship
Modeling in Data Warehouse Environments
Lars
Bękgaard
Deriving
Initial Data Warehouse Structures from the
Conceptual Data Model of the Underlying
Operational Information Systems
Dipl.-Wirtsch.Inf.Michael Boehnlein and
Dipl-Inf Achim Uldrich-von Ende
Dealing
with Slow -evolving Fact; A Case Study on
Inventory Data Warehousing
Chung-Min
Chen , Munir cochinwala and Elsa Yueh
|
| . |
| 12:00-1:30
Lunch |
| . |
| 1:30-2:15
Panel: Future Directions in Data Warehousing
and OLAP |
| . |
|
Panel
Chair: Erik Thomsen, Dimensional
Systems
|
| . |
| 2:15-2:30
break |
| . |
| 2:30-3:30:
Session 2 - 2 Parallel Sessions |
| . |
| 2:30-3:30
Session 2-A: Materialized Views |
| . |
| The
MRE Wrapper Approach : Enabling Incremental
View Maintenance of Data Warehouses Defined
ON Multi-Relation Information Sources
Lingli
Ding, Xin Zhang and Elke A. Rundensteiner
Progressive
View Materialization Algorithm
Hidetoshi
Uchiyama, Kanda Runapongsa and Toby J. Teorey
Design
and Selection of Materialized Views in a
Data Warehousing Environment: A case study
Gorettiv
K.Y Chan, Qing Li and Ling Feng
|
| . |
| 2:30-3:30
Session 2-B: OLAP |
| Detecting
Patterns and OLAP operations in the GOLD model
Juan
Trujillo, Manuel Palomar and Jaime Gomez
Characterization
of Hierarchies and Some Operators in OLAP
environment
M.
Rafanelli and E. Pourabbass
Updating
OLAP Dimensions
Carlos
A. Hurtado, Alberto Mendelzon and Alejandro
A. Vaisman
|
| . |
| 3:30-3:45
break |
| . |
| 3:45-4:45:
Session 3 - 2 Parallel Sessions |
| . |
| 3:45-4:45
Session 3-A: Multidimensional Databases and
Aggregation |
| . |
| Dynamic
Load Balancing Strategy for Parallel Datacube
Computation
Seigo
Muto and Mararu Kitsuregawa
Accessing
Data Cubes along Complex dimensions
Yuping
Yang and Mukesh Singhal
Aggregation
Everywhere: Data Reduction and Transformation
in the Phoenix Data Warehouse
Steven
Tolkin
|
| . |
| 3:45-4:45
Session 5: Queries in Data Warehouses |
| . |
| Query
Driven Knowledge discovery in multidimensional
data
Jean-Francois
Boulicaut, Patrick Marcel and Christophe
Rigotti
A
cache Filtering Optimization for Queries
to Massive Datasets on Tertiary Storage
Koen
Holtman, Peter van der Stok and Ian Willers
|
