OWB Implementation Testimonial Presented by David Cordas Data Architecture Team Lead LUCRUM, Incorporated 312 Plum Street, Suite 1110 Cincinnati, OH

Topics  Client profile  Architecture layout  OWB standards  Job scheduling/Monitoring  Future state

Client Profile Cinergy Corp. –Provider of gas & electric serving approximately 2 million customers in OH/KY/IN –Initiative began in early 2003 to consolidate numerous “data silos” –Employed Lucrum to aid in the creation of an enterprise wide data warehouse –Using both Microsoft and Oracle databases

Architecture layout  Hardware – 3 Sun Fire 4800 –Dev GHz processors, 16 GB RAM –Test/Prod GHz processors, 16 GB RAM  Operating system – Sun Solaris 8  Database – Oracle  Oracle Warehouse Builder –Dev / –Test/Prod /  SAN backbone running on Clariion & Symmetrix

Architecture layout – cont. Design Repository Runtime Repository Test Runtime Repository UAT Runtime Repository Prod Fix Runtime Repository Runtime Repository Deploy Promote Test UAT Prod Fix Product Release Deploy DevProdTest UAT Promote Prod Fix Synch Dev Synch Prod Fix Promote Redeploy

OWB Standards  OWB configured for 17 concurrent developers  Common module for conformed dimensions across all development paths  Separate modules for individual project development  Data sources defined by OWB administrator, not developers  No outbound reconciliation!!!!

OWB Standards – cont.  Fact table mappings configured for “set based” rather than “row based” processing  Dimension table mappings configured for “set based fail over to row based” processing  Process flows used to organize logical groups of work  Common processing tasks grouped in re- usable process flows

OWB Standards – cont.  Oracle sources handled via database links  Non-Oracle sources handled via flat files  Flat files configured as External Tables  Custom PL/SQL written outside of OWB and imported into meta data  Objects currently deployed; Mappings & Process Flows

Job Scheduling & Monitoring  Cron used to schedule nightly processing  Data validation checkpoints throughout ETL processing  Parameterized stored procedure used to launch OWB process flows  Process flows used to handle execution of dependent sub-processes

Job Scheduling & Monitoring – cont.  Utilize Runtime Audit Browser (RAB) and/or Workflow Monitor for information on OWB processing  OWB currently processing approximately 4+ million rows of data nightly from 3 source systems

Future State  Implement OWB templates  Provide robust job notification facility ( /paging)  Implement OWB data validation plug-ins (Fact & Dimension thresholding)  Automate OWB meta data feed to custom meta data system  Consolidate 12 additional source systems

Questions??? Thank You! David Cordas Lucrum, Inc.