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Data and Database Related News, Views, and Issues

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The 5 Most Expensive Database Mistakes Enterprises Make

After many years of working with enterprise database systems, one thing has become abundantly clear: organizations rarely lose money because of a single catastrophic database failure. More often, they lose it a little at a time through poor design decisions, Continue reading

The Difference Between a “Slow Query” and a “Slow Design”

One of the most common requests a DBA receives is deceptively simple: Can you tune this slow query? Sometimes the answer is yes. But just as often, the real problem isn t the SQL statement at all. Sometimes it s the design. Continue reading

The Cost of “Good Enough” Data

My latest book, The Cost of Good Enough Data, has been published and is available for purchase. So, what is this book all about? Well, let s start with a setup of the current situation In the not-too-distant past, systems were Continue reading

Book Review: Foundations of High-Performance Computing

High-performance computing (HPC) has long been a specialized discipline practiced by computational scientists, engineers, and researchers working at the limits of available processing power. Today, however, HPC concepts are becoming increasingly relevant to a broader audience. Artificial intelligence, machine learning, Continue reading

The State of Enterprise Databases in 2026

For decades, enterprise databases have served as the backbone of business computing. They process transactions, safeguard critical information, support regulatory compliance, and increasingly fuel analytics and artificial intelligence initiatives. While the technologies surrounding databases continue to evolve, the fundamental role Continue reading

Why “Cloud‑Only” Strategies Fail for Mission‑Critical Workloads

In the rush to modernize IT infrastructure, cloud-only has become a popular mantra for CIOs looking to simplify operations and reduce capital expenditure. The allure is understandable: the promise of infinite scalability, elastic pricing, and relief from the burden of Continue reading

Schema-on-Read Is Not a Governance Strategy

For years, organizations struggled with the rigidity of traditional data management. Building structured databases required planning, modeling, and governance before data could be effectively used. Data warehouses demanded careful schema design, transformation logic, and operational discipline. Then came the rise Continue reading

The Data Catalyst³ (Cubed) by Robert S. Seiner

The Data Catalyst³ (Cubed) by Robert S. Seiner is a timely and transformative read for anyone serious about making data governance work in the real world. Seiner argues that Data Governance, change management, and data fluency are not competing disciplines. Continue reading

Strategies for Improving Database Schema for AI

Your database schema and metadata can be a big barrier to successfully adopting AI. Sure, we all have heard about data quality and its impact on AI decision-making. The old GIGO (Gargage In, Garbage Out) argument and that is undeniably Continue reading

The Potential Impact of Quantum Computing: What Data Technology Professionals Should Know

Quantum computing is rapidly moving from research labs toward practical impact, promising to transform how we approach some of the hardest problems in computing and data-intensive industries. While quantum-native systems are still in their infancy, advances in algorithm design, hardware Continue reading