Location: Hilton Hotel Downtown
09:15 - 10:30 | ROLLING OUT A DISTRIBUTED DATA WAREHOUSE ARCHITECTURE
Carl Cichetti - Xerox Corp. 10:30 - 10:45
| COFFEE BREAK
| 10:45 - 12:00 | DB2/MVS VERSION 4 - A SHARED EXPERIENCE
| Kris Sukol - TD Bank 12:00 - 01:15
| LUNCH
| 01:15 - 02:30 | BACKUP AND RECOVERY IN DB2 COMMON SERVER V2
| Jay Lennox - IBM Canada, Toronto Lab 02:30 - 02:45
| COFFEE BREAK
| 02:45 - 04:00 | DB2 COMMON SERVER EXTENDERS
| Jan Hedges - IBM Canada, Toronto Lab |
ROLLING OUT A DISTRIBUTED DATA WAREHOUSE ARCHITECTURE
Xerox's Global Data Warehouse(GDW) establishes an integrated environment in support of
enterprisewide business process reengineering, decision support, application development, and
legacy retirement. It consists of centralized warehouse hub, with data marts in a client-server and
OLAP environment, serving Xerox's DSS and operational data store needs. Now Xerox is taking
the next step toward a global, multi-tier distributed architecture. This presentation will discuss
Xerox's evolving data warehouse architecture, with a focus on the challenges involved in
administration, data quality, data stewardship, and information access.
DB2/MVS VERSION 4 - A SHARED EXPERIENCE
The Toronto Dominion Bank has recently rolled out DB2/MVS Version 4 into a parallel sysplex
data sharing environment on their production system. This presentation will cover the Bank's
exploitation of DB2 Version 4 and will include benchmark results for some of the new features.
Also covered will be some of the How-To's and Gotcha's of DB2 Version 4 Data Sharing.
BACKUP AND RECOVERY IN DB2 COMMON SERVER V2
The ability to recover an organization's data in the event of a disaster is a key consideration of an
operational system. This presentation will cover the planning and execution of a backup and
recovery strategy for DB2 Common Server Version 2. It will include performance considerations
and examples of backup and recovery scenarios.
DB2 COMMON SERVER EXTENDERS
DB2 Common Server provides support for data extensibililty via SQL3 functionality such as
triggers, large object support, user defined datatypes and user defined functions. This
presentation will explain these concepts, and will expand on how the relational extenders provide
seamless extensions to the SQL language, enabling users to incorporate non-traditional data with
their relational data stores. It will also include examples, and customer experiences in the use of
these extenders.