Submit Nominations Now for DBTA’s Readers’ Choice Awards

Submissions for nominations are now open 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 users. The nominations period is open through March 7, 2025, and will be followed by actual voting on the products nominated by our readers. Read More

New DBTA Survey Reveals the Rising Costs of Software Audits

Given the criticality of understanding the breadth and depth of software audits, and the consequential costs, this survey, "The Rising Cost of Software Compliance: 2025 Survey on Software Audits," has been conducted by Unisphere Research, a division of Information Today, Inc. to gain a better understanding of the current state of software licensing and audit trends. Read More

The Top Information Management Trends For 2025

Throughout 2024, data managers and professionals were at the locus of the new waves of innovation driven by AI and analytics—and the activity was frenetic and intense. As the year 2025 progresses, this intense and frenetic activity will only continue. Cloud services, AI, AI agents, and cybersecurity are top areas of interest that industry leaders are watching. The following are several prominent trends mentioned that are shaping data management. Read More

What to Expect in AI Data Governance: 2025 Predictions

In 2025, preventing risks from both cybercriminals and AI use will be top mandates for most CIOs. Ransomware, in particular, continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech companies and cloud providers making significant investments in building turnkey generative (GenAI) and AI solutions for enterprise customers. Read More

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Database Elaborations

Todd Schraml

The Many Faces of Denormalization Normalization clusters data items together based on functional dependencies within the data items. This normalized arrangement expresses the semantics of the business items being presented. Denormalization means that, for some reason, grouping the data strictly by functional dependencies has been ignored. Why might one cast aside reasonable designs for something less rational? There are many reasons for denormalizing.

DBA Corner

Craig S. Mullins

Top 5 DBA Concerns in the Age of AI and Cloud The role of the Database Administrator (DBA) is constantly evolving to adapt to changes in technology and application development methods. Once primarily focused on managing physical hardware and software, DBAs now find themselves navigating a complex landscape of cloud technologies, AI-driven automation, and ever-increasing data volumes. Here at the beginning of 2025, let's explore the top five concerns that keep DBAs up at night.

SQL Server Drill Down

Kevin Kline

Combining Your Database and DevOps With Observability Since the term's inception in the late 2000s, "DevOps" is by far the most common approach to product development. During the last 15 years, DevOps processes have evolved to new speeds and scales, with the latest iteration including AI-assisted coding and platform engineering. Simultaneously, certain companies are struggling to master database operations. As a result, many organizations have data that sits in silos and/or can be hard to track down. What today's businesses need is a way to combine DevOps and data management, ultimately creating a Database DevOps framework.

Emerging Technologies

Guy Harrison

So Long, and Thanks for All the Tech After more than 2 decades of writing for DBTA, this will be my final column. It has been a privilege and a pleasure to engage with you on databases and emerging technologies. As with all good things, this journey must end, and I want to use this moment to reflect on the changes we've witnessed during the past 20 years and look ahead to the future.

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)?