Voting Starts Now for the 2025 DBTA Readers' Choice Awards

It's time to vote for the annual Database Trends and Applications Readers' Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the readers. The voting period will be open through Friday, May 30. Read More

30 Startups to Watch in 2025

Now that the hype behind AI is receding, tech CEOs face intensifying pressure to deliver innovation while managing rising levels of enterprise risk. Startups continue to emerge that bring fresh approaches to accelerating digital transformation, expanding what's possible with AI and analytics, breaking down silos, enhancing security, improving data observability, introducing new types of databases, maintaining data at the edge, advancing Web3, and more. Here are 30 startups DBTA thinks are worth watching in 2025. Read More

Reimagining Data Governance and Security in the Era of AI and Fast-Moving Data

It's a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security just won't work anymore. The rapid emergence of AI and machine learning—among other things—has turned the data governance and security world upside down. Read More

Quit Meshing Around: Why Centralized Data Warehousing Beats Data Mesh Every Time

The rise of "data mesh" as a buzz phrase in the data management world has generated significant interest, but is it the right approach for your organization? While data mesh has its proponents, many organizations may find it exacerbates the challenges it aims to solve rather than eliminating them. Read More

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Columnists

Database Elaborations

Todd Schraml

Putting Fun in Functional Dependency Everyone knows and loves the first three normal forms. We go through the process of normalization to remove redundancies in our data structures. But the redundancies we remove have nothing to do with trying to save space. Instead, the desire is to prevent maintenance anomalies. The normalization process involves stepping through the evaluation of normal forms that decompose a data structure into multiple structures based on the needs of these normal forms.

DBA Corner

Craig S. Mullins

Mainframes, COBOL, and the Future of Legacy Databases For decades, mainframes and COBOL-based systems have been the backbone of enterprise computing, powering industries such as banking, insurance, healthcare, and government. Despite the rise of modern database technologies and cloud-based solutions, legacy databases remain deeply embedded in mission-critical operations.

SQL Server Drill Down

Kevin Kline

The Smart Automation Playbook: Elevating SQL Server Performance As today's database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database management. When DevOps teams and DBAs combine effective automation with Microsoft SQL Server use, it allows organizations to experience better server monitoring and increase server performance while removing common hurdles to software development.

Emerging Technologies

Growing Tomorrow’s Leaders: How to Cultivate the Next Generation of Change-Makers In today's fast-evolving business landscape, leadership is no longer about traditional command and control. As the world shifts from classical methodologies to dynamic and modern practices, leaders must adapt, and so must their teams.

Next-Gen Data Management

Will AI Become Our Friend or Foe? Technology Professionals Weigh In. Picture this: there's a new face in the IT department, ready to step in to help tackle the increasingly complex challenges caused by modern hybrid on-prem and multi-cloud environments. Overstretched technology teams always appreciate an extra set of helping hands, but what happens when this new team member isn't human—but artificial intelligence (AI)?