DBTA E-EDITION
March 2024
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Columns - Database Elaborations
As disheartening as it may sound to new graduates, even when you leave school never to return, you still must continue to learn. There are always new tasks to comprehend, and new tools to drive. And when one serves as a data modeler, one is always going to be exposed to new data. Fortunately, if one has a good foundation, acquainting with new data can be easily managed. Every new conceptual or logical data model is an opportunity to develop a deeper understanding about another subject area within an organization.
Columns - DBA Corner
Database administration is a very technical discipline, but it is also a discipline in which the practitioner is very visible politically within the organization. DBAs should be armed with a proper attitude and sufficient technical knowledge before attempting to practice database administration. This column usually covers the many diverse technology issues with which DBAs must deal. But for this month, we are going to take a short diversion and discuss some high-level guidance for DBAs to follow that can make their job easier to deal with.
Columns - Emerging Technologies
By now, I'm sure most of us have spent quality time with generative AI systems such as ChatGPT and have been amazed at how convincingly they mimic human intelligence. Furthermore, it's just as easy to integrate generative AI into application code as it is to interact manually. However, when it comes to adding generative AI capabilities to enterprise applications, we usually find that something is missing—the generative AI programs simply don't have the context to interact with an application's users or a company's customers.