eadlines since 1990
In 1992, Bill Inmon published his book Building the Data Warehouse. On October 24, 1995, the FNC unanimously passed a resolution defining the term Internet. By definition, "Internet" refers to the global information system that is logically linked together by a globally unique address space based on the Internet Protocol (IP) standard. Google, the search engine, went live in 1998. Facebook was launched in 2004. Cloud computing may be traced back to 1994.
Enterprise Architecture Integration Maturity as of 2010
The following table depicts the integration milestones achieved by 2010 in the three layers of the computing enterprise architecture. When this table is compared to the table that depicts enterprise integration maturity of 1990, it may be concluded that each of the three architecture layers have seen significant advancement over the 20 year period from 1990 to 2010. However, the data architecture layer still lags far behind the application architecture layer and the technical architecture layer. Our analysis is indicative of what needs to be achieved to advance the integration of data architecture layer. Advanced integration does not appear possible without integration standards and governance of the standards.
The Future of Data Integration in our Data Architectures
Currently, established data architectures are based upon disparate data architecture components that are not designed to interact directly. Highly customized ETL programs provide a method to duplicate data from one disparate database to another. Sometimes, data integration hub type architectures are employed to minimize the number of ETL data interfaces required within the data architecture.
From the information presented here, it appears that the next level in data integration maturity is to develop local networks of databases that interact directly much like computers connected to a local area network. To achieve this level of data integration maturity, data integration foundation standards need to be established. Any database that complies with these data integration foundation standards will be integrated to any other compliant database.
As with any standards used within enterprise architectures, governance of these data integration standards will be important. The scope of the data integration foundation standard governance will establish the scope of the data integration. Initially, local data integration foundation standards will be developed by each organization. Thus organizational integrated data architectures will be achieved. However, certain components of the data integration foundation standards will have global governance allowing for data integrations beyond the organizational boundaries much like the integration found with the Internet.
Data Integration by Design methods are the first and the only data integration methods based upon data integration foundation standards. Any database designed using Data Integration by Design methods will be integrated with any other so designed database provided that each database complies with the same data integration foundation standard.