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It’s Time to Submit Nominations for DBTA’s Readers’ Choice Awards

Now you can submit nominations 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 6, 2024, followed by actual voting on the products nominated by our readers. Read More

A New Era of Data Management Architectures: Cloud and Beyond

The momentous transformation putting data managers and their systems at the helm of modern enterprises has only begun. Industry leaders and experts agree that it's critical for data managers and team leaders to design today's data architectures to meet the demands of a digital economy, from cloud to real-time streaming to AI. Read More

2024: MultiValue Adapts to Change

The past year saw AI go from a pipe dream to a reality. Businesses are rushing to do what they can to integrate automation into their systems and offer their own AI technology, leading to increased security, tapping into the cloud, and more. As 2024 begins, DBTA presents the annual MultiValue Special Report and asks MV executives to address several questions. Read More

The Undiscovered Paragon of Cloud Cost Optimization

Public cloud has skyrocketed to become the indisputable go-to destination for new IT workloads, especially for data. And while the cloud is full of advantages over on-premises data platforms, cost optimization rarely makes that list. Since modern data professionals' roles encompass building and maintaining this platform, they should also be aware of how to objectively reduce the data platform costs to eliminate this enormous, missed business opportunity. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • The Case of the Missing Fact In far too many organizations, processes become automatic. Requests are made, and requests are fulfilled. People wish to please; they like to show how fast they can respond or how agile they are. The same is true when addressing database design. This delivery-focused desire comes from a good place. However, regardless of how well-intended, blindly fulfilling requests is dangerous and harmful to one's overall results. Optimization of processes, especially processes involving database design, should never remove the step where questions are asked and rationale is provided.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Collaboration Is Required for Compliance Before talking about its impact, it makes sense to first define what is meant by the term "regulatory compliance." There are two components: regulatory and compliance. Regulatory refers to regulations, which are governmental, and business rules and laws. Regulations may exist for specific industries, countries, jurisdictions, and practices. Compliance refers to following the directives of the regulations as they apply to your business operations.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • New Troubleshooting Capabilities in SQL Server and Azure SQL Microsoft has recently released a powerful new DMV specifically to help with memory issues, sys.dm_os_out_of_memory_events. It is currently available in Azure SQL Database and Azure SQL Man­aged Instances. This DMV consolidates and simplifies telemetry from SQL Server ring buffers, applies heuristics, and provides a result set. The DMV stores a record for each out-of-memory (OOM) event that occurs within the database, providing details about the OOM root cause, the memory consumption of database engine components at that point in time, potential sources of memory leaks, and more.
Recent articles by Kevin Kline
Guy Harrison

Emerging Technologies

Guy Harrison

  • Large Language Models May Have Unacceptable Carbon Footprints The remarkable and rapid uptake of ChatGPT and similar large language model (LLM)-based AIs may be driving the biggest increase in demand for computing power since the advent of the internet. The neural networks that power LLM AI solutions, such as ChatGPT, rely on massively parallel processing. This processing is similar in some respects to the massively parallel graphics processing that was demanded in the past by computer games.
Recent articles by Guy Harrison
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Trends and Applications