As a DBA you are rather frequently asked whether the database is the same structure-wise all over the different environments. Whenever a decent release management is in place you can be very relaxed answer that this is the fact. This article will explain how to compare based on SQL.
In the early days of DB2 for z/OS, pretty much every change to a table would result in an unload-drop-recreate-load of the table. This article will talk about how the ALTER table in DB2 12 for z/OS has evolved from DB2 11 for z/OS and what you need to know from a practical point of view.
Data Architecture is not only related to the mere constellation of technical components that should work together. A data architecture should also reply to the needs of an end user and eventually establish an information architecture that is not only fit for use, but also fit for purpose.
Database services in the cloud are gaining increasing popularity for development, test, and production systems. One of the key technical challenges for cloud database adoption is fast and secure movement of large data volumes into the cloud.
One of the more difficult parts of developing a data architecture for a new project is choosing which technologies to use. You'll have application developers that have their opinions, management with a different view, and legacy technology already in place.