First article in a four-part series.
The IMS to SQL migration is broken down into two phases :
- the first phase is the creation of the new database (Oracle, DB2...) that offers the advantages of the SQL language and the migration of the data.
According to a survey from InformationWeek Analytics*, data quality in 2015 is «still the No. 1 "barrier to success" cited by both Business Intelligence and analytics types and information management professionals».
The similitudes don't typically jump out, do they? But you'll quickly see the point.
On one side, in a whisky distillery we have engineers who build the tubings and alembics and such (the containers), and biologists who are in charge of taking care of the many processes leading to the final product (the content). It's all about measuring the quality and tasting.
Metadata are data describing other data (semantically data about data). It's the information which allows to recognize the collected data. For example the most common metadata are the backup date, the size and author of a file... all the information allowing you to identify and locate the data in due time (it can be a document, an audio file, an image, in theory any kind of collected information).
Our cavemen ancestors were all about foraging. Times were tough and to survive one needed to go hunt or search for plants. We've come a long way since then of course, but a small part of us still reacts pretty much the same way. We consider accumulation as a richess. But what is true for more traditional assets such as gold is not necessarily true for modern business assets such as data.