I read a very interesting article today by independent data architecture consultant Mike Lapenna about ETL logic. Data governance initiatives, MDM and data quality projects are all projects which need business rules of one kind or another. Some of these may be trivial, and as much technical than business e.g. “this field must be an integer of most five digits, and always less than the value 65000”. Others may be more clearly business-oriented e.g. “customers of type A have a credit rating of at most USD 2,000” or “every product must be part of a unique product class”. Certainly MDM technologies provide repositories where such business rules may be stored, as (with a different emphasis) do many data quality repositories. Some basic information is stored within the database systems catalogs e.g. field lengths and primary key information. Databases and repositories are generally fairly accessible, for example via a SQL interface, or some form of graphical view. Data modeling tools also capture some of this metadata.
Yet there is a considerable source of rules that are obscured from view. Some are tied up within business applications, while there is another class that are also opaque: those locked up within extract/transform/load ETL rules, usually in the form of procedural scripts. If several source files need to be merged, for example to load into a data warehouse, then the logic which defines what transformations occur are important rules in their own right. Certainly they are subject to change, since source systems sometimes undergo format changes, for example if a commercial package is upgraded. Yet these rules are usually embedded within procedural code, or at best within the metadata repository of a commercial ETL tool. Mike’s article proposes a repository that would keep track of the applications, data elements and interfaces involved, the idea being to get the rules as (readable) data rather than buried away in code.
The article raises an important issue: rules of all kinds concerning data should ideally be held as data and so be accessible, yet ETL rules in particular tend not to be. It is beyond the scope of the article, but for me there is a question of how the various sources of business rules: ETL repository, MDM repository, data quality repository, database catalogs etc can be linked together so that a complete picture of the business rules can be seen. Those with long memories will recall old fashioned data dictionaries, which tried to perform this role, but which mostly died out since they were always essentially passive copies of the rules in other systems, and so easily became out of data. Yet the current trend towards managing master data actively raises questions about just what the scope of data rules should be, and where they should be stored. Application vendors, MDM vendors, data quality vendors, ETL vendors and database vendors will each have their own perspective, and will inevitable will each seek to control as much of the metadata landscape as they can, since ownership of this level of data will be a powerful position to be in.
From an end user perspective what you really want is for all such rules to be stored as data, and for some mechanism to access the various repositories and formats in a seamless way, so that a complete perspective of enterprise data becomes possible. This desire may not necessarily be shared by all vendors, for whom control of business metadata is power. An opportunity for someone?