DBTA E-EDITION
October 2025
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Trends and Applications
Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of businesses are investing in AI this year to boost performance and efficiency. Although AI's effectiveness relies heavily on quality data, 98% of organizations report that poor data quality undermines their AI initiatives. The result? Inaccurate AI models, biased outcomes, and operational challenges. Put simply, AI's inherent speed, agility, and precision can become liabilities if it's fed flawed data.
Columns - Database Elaborations
When we draw lines within an entity-relationship diagram (ERD) that represent a "relationship," the diagram only shows the exterior presentation. A relates to B in a one-to-many fashion. But what is the actual nature of that A-to-B relationship? Is the relationship one of composition where A is the whole and each B is a part of A? Can any B exist without an A?
Columns - DBA Corner
Data breaches are a constant, lurking threat in our interconnected world and database administrators are the front-line guardians of their organization's most valuable asset: its data. The modern database environment, with its mix of on-premises, cloud, and hybrid systems, can feel like a minefield. Navigating it successfully requires more than just technical skill—it demands a proactive, strategic approach to security.
Columns - SQL Server Drill Down
In the AI era, we're constantly talking about how important data is—storing data, disseminating data, and protecting data. As data specialists, we understand bad data management leads to bad use of AI which leads, quite frankly, to bad business outcomes.