DBTA E-EDITION
November 2026
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News Flashes
Amazon Web Services (AWS) has introduced system tables in Amazon Athena, giving data teams a way to analyze query activity, audit usage, and track how much data different users and workloads scan.
Amazon Web Services (AWS) has released an open source web interface that lets data teams turn selected records from Apache Iceberg tables into graphs for analysis in Amazon Neptune Analytics.
Databricks has made Lakebase Postgres generally available on Google Cloud, bringing its managed, serverless transactional database to customers running analytics and AI workloads on the Databricks platform.
The Modern Data Company has launched Dex, a conversational analytics tool that lets business users ask questions in plain language and trace the answers back to governed data products in DataOS.
Neo4j introduced Relate, "an AI-native, open source, in-memory and in-process embedded database built in Rust for AI Agents and Agentic Systems."
Trends and Applications
Enterprises have dealt with conflicting definitions and delayed data for years. What is changing is how quickly those problems can affect operations. A discrepancy that once surfaced during a reporting review can now trigger a decision before anyone sees it. AI agents make that shift more visible, but the same pressure is coming from customer-facing apps, automated fraud checks, and supply chain systems.
Columns - SQL Server Drill Down
Today's enterprises have adopted AI with one promise in mind: efficiency. In the mindset of most IT leaders, efficiency equals simpler workflows, easier data access, faster results, and lighter burdens for IT teams. Unfortunately, according to a recent IT trends study, 71% of IT professionals report AI is actually making their role more demanding. Although AI has proven its ability to fast-track individual tasks, attaching AI technology to legacy processes has revealed a trap hidden under that promised simplicity.