From Bottlenecks to Breakthroughs, Enterprises Are Rethinking Analytics in the Lakehouse Era

For more than a decade, enterprises have been locked in a cycle of building increasingly complex data stacks to keep pace with the demands of modern analytics. Warehouses, OLAP engines, and streaming systems have all played their part. However, as data volumes have increased, customer-facing use cases have proliferated, and costs have risen, the cracks in legacy approaches are widening. Read More

Voting is Now Open for the 2026 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 May 22. Read More

When the Clock Starts, Your Data Has to Be Ready

Most people will watch the NFL draft for the picks, the trades, and the storylines. I see it as a data event. My hometown, Pittsburgh, hosted between 500,000 and 700,000 people across a dense downtown footprint shaped by three rivers, limited bridges, and infrastructure that already runs close to capacity. For a few days, there was almost no margin for error. A familiar system became a real-time operational test. Read More

Shaping Responsible AI Systems at Data Summit 2026

The roles of information professionals are being redefined in the digital age, seamlessly bridging the gap between traditional knowledge management (KM) practices and cutting-edge AI applications. At Data Summit 2026, Fleur Levitz, principal consultant, FDL consulting NYC LLC, and former data governance executive on Wall Street and senior management consultant and data governance practice lead, IBM lead her session, "Information Professionals in the Age of AI," examining several classical approaches to organize and rationalize human thought, namely through catalogs, classification schemes, and taxonomies. Read More

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Database Elaborations

Todd Schraml

Language is Always Hard Words such as "taxonomy" and "ontology" are often thrown around by data architects as if these terms were interchangeable. Generically, the ideas of taxonomy and ontology are similar, but not synonymous.

DBA Corner

Craig S. Mullins

Database Resilience: Designing Systems That Fail Gracefully Most organizations spend a great deal of time thinking about database performance. DBAs tune SQL, design indexes, and monitor workloads to ensure that applications run quickly and efficiently. Performance is important, of course, but there is another attribute that can be even more critical: resilience.

SQL Server Drill Down

Kevin Kline

The Costly Consequences of DBA Burnout Data has become the most valuable resource for modern enterprises. However, the people tasked with managing this valuable resource have one foot out the door. According to the recent State of Database report by SolarWinds, more than 1 in 3 database administrators (DBAs) are considering leaving their role due to burnout. This statistic points to consequences that affect multiple core business functions. Moreover, as a database expert for more than 3 decades, I fear these consequences can create a cascading effect that could limit future innovation, shrink the DBA workforce, and reduce operational resilience.

Emerging Technologies

Preparing Your Data Team for the AI Revolution Artificial intelligence has shifted from an emerging technology to a core component of modern data ecosystems. For data and database professionals, AI now powers analytics platforms, cloud services, automation tools, and development workflows. This rapid integration is transforming how teams operate—accelerating productivity while raising new expectations around governance, ethics, and strategic alignment.

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)?