-
Pete Stiglich is a Senior Technical Architect with Perficient with nearly 25 years of IT experience in the fields of Data Modeling, Data Warehousing (DW), Meta Data management, Enterprise Architecture (EA), Data Governance, Customer Data Integration (CDI), Master Data Management (MDM), Data Quality, and Project Management. Pete holds CCP, CDMP, and CBIP certifications.
Pete has taught courses on Managed Meta Data Environments (MME), Data Modeling (Conceptual, Dimensional, Logical/Physical), ER/Studio, and SQL. Pete has presented at the 2008 MIT Information Quality conference, 2007 and 2008 Marco Masters Series, DAMA at the international and local level, and at the 2007 IADQ Conference.
Pete's articles on Enterprise Information Management have been published in Real World Decision Support, DMForum, InfoAdvisors, and the Information and Data Quality Newsletter. Pete is a listed expert for SearchDataManagement on the topics of data modeling and data warehousing. Pete is an industry thought leader in the field of Conceptual Data Modeling and can be reached at pete.stiglich@perficient.com.
Read Pete's expert advice about building a business case for data modeling.
-
Do you have a question for our experts?
Contributions from Pete Stiglich, Senior Technical Architect, Perficient
- How semantic modeling will change data modeling
- Role of a data architect in making project decisions
- The truth about retail data modeling software
- Converting logical data model to a physical data model
- How to organize an conceptual data model effort
- Best practices for selecting data modeling tools
- Data modeling software: How to choose between custom and commercial
- Data architect vs. application architect: Segregate the duties
- Enterprise versus project level conceptual data modeling
- XML schema definition versus conceptual data model
- Data model conversion: Conceptual design to logical design using an ER model
- Four guidelines for enterprise conceptual data model (ECDM) entity selection
- Data modeling for data warehouse projects
- Data architecture vs. information architecture
- What are the benefits of a conceptual data model?
Data Management Strategies for the CIO