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Database

Database Web/Systems Methodology Troubleshooting

DM Series

IBI specializes in Logical and Physical design of complex databases requiring high performance, privacy and security.

Key Benefits

  • Integrity
  • Ease of Use
  • Fast Development
  • Flexibility
  • Security
  • Privacy
  • Performance

Capabilities

Data Architecture
Infrastructure, servers, standards, ETL(Extract Transform and Load), data modeling, data warehousing

InBase President, Randy Weis, has developed a database architecture pattern that allows for the versioning of database objects, allowing the application to maintain and retrieve instances of an object "as of" any given point in time.  This also allows for proactive updates, retroactive updates, sandbox and hypothetical updates.  It also provides the ability to spread a business transaction across multiple physical units of work, many days, several tables and numerous rows, yet release/publish them all together in a small release transaction.  This pattern builds upon the bi-temporal pattern that he previously developed and implemented.

Randy, in collaboration with Dr. Tom Johnston of Mindful Data, Inc., another specialist in this space, are publishing a series in DM-Review, explaining the various Data History Patterns, leading up to the ultimate pattern.  Check out the series here, and give us your feedback.

 
Conceptual Modeling
IBI will work with your team gathering requirements and developing a Conceptual Data Model.  This identifies high level fundamental entities, and provides a starting point for future design
 
Logical Design
After capturing detailed requirements, IBI organizes these Entities and Attributes into an "normalized" Logical data model.  Tools, such as ER-Win are used to help create a ERD (Entity Relationship Diagram). In addition, Primary Keys and Relationships are defined.  This model helps simply the development, and enables future enhancements
 
Physical Model
Volumetrics and Access Paths are analyzed, and mapped to critical/high volume functions to help identify areas of the model that might benefit from special "denormalization", indexes or other tweaks to improve performance.  Trade-offs are documented and discussed.  The physical model updated accordingly
 
Physical Database
Database platform and DBMS vendor is determined.  The Data Definition Language (DDL) is created, and standards are defined and applied to simplify program development, database migration and roll-out.  The database is created
 
Physical Model
Volumetrics and Access Paths are analyzed, and mapped to critical/high volume functions to help identify areas of the model that might benefit from special "denormalization", indexes or other tweaks to improve performance.  Trade-offs are documented and discussed.  The physical model updated accordingly
 
Performance monitoring and Tuning
The database is monitored for any low hanging fruit that will benefit from simple tweaks, such as an index or minor SQL adjustment.  This is an on-going process as new requirements are added and data volumes change.  Often, related architectures, such as the Operating Systems, TP Monitors, Disk Subsystems, and the like, need to me evaluated and tuned, too.

 

Reference Accounts

Blue Cross Blue Shield
Data Architecture, data modeling and physical databases
 
GoMedia
Vertical Market on-line Expo
 
Kemper Insurance
Implemented the IAA (Insurance Application Architecture) data model with IBM.  Troubleshooting of many of their legacy systems.  Peoplesoft tuning. 
 
TransAmerica Commercial Finance (GE Finance)
Worked with IBM in designing and implementing a Floor Plan Financing system.  Within two months of implementing the centralized system, the company turned profitable, and exceeded profit projections for over 5 years in a row.

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