Changing a data structure can be one of the simplest activities to physically perform. However, when considering the number of programs that act upon a data structure, any type of change to a data structure becomes a very complex activity - which may increase the potential for introducing viral data. Read this article by Neal to better understand how you can avoid the massive problems that will ensue if you introduce viral data into your database.
Neal adapted this article from his book, so if you like it, check out the book.
The title of the book “Viral Data” implies that the book is about Data Quality… but there is much more in the book! Check out these terms that also describe the content of the book:
- data governance
- data modeling
- data quality
- master data management
- data architecture
- data integration
- data provenance
- trusted information
- data quality assessment
For more information on Neal’s book, see my blog entry about his book signing. This entry contains some reader feedback that you’ll appreciate.
Neal had several sessions at the IOD conference this year. Did you catch any of them?
- 3324A Unified Metadata Architectures for Successful Enterprise Metadata Deployments with IBM InfoSphere
- 3120A Data Governance Strategies and Their Value in Your Organization
- 2803B InfoSphere Data Architect and Data Modelers User Group
- 3324B Unified Metadata Architectures for Successful Enterprise Metadata Deployments with IBM InfoSphere
On Dec 15, you can take part in the Virtual IOD and can possibly “attend” one or more of these sessions. Sign up: IBM Information on Demand Virtual Conference on Dec 15: http://ow.ly/3iLxE