1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.
When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...
Abstract: Big data SQL analytics platform has evolved as the key infrastructure for business data analysis. Compared with traditional costly commercial RDBMS, scalable solutions with open-source ...
Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding others in ways that are detected only at the end: Improper data testing ...
Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more important than ever to deliver high-quality software quickly and safely. Any ...
Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...
Effective quality control (QC) data management is essential for ensuring reliability of reported patient results and regulatory compliance in molecular infectious disease laboratories. This session ...
The growing availability of low-cost air quality sensors is helping people across the world track air pollution. Headway The growing availability of low-cost air ...
As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...
Building on SynSQL-2.5M, we introduce OmniSQL, a family of powerful text-to-SQL models available in three sizes: 7B, 14B, and 32B. During the fine-tuning process, we also integrate training sets from ...
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