Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.
According to God of Prompt, dynamic per-query scaling in AI models can render $100M large-scale training runs obsolete, allowing companies to deploy smaller, more efficient models that dynamically ...
Abstract: SQL query optimization aims to choose an optimal Query Execution Plan (QEP) for a query. The existing optimizers usually choose the plan with the minimal execution cost. However, in some ...
Have you ever spent hours fine-tuning a Power Query workflow, only to have it break because a column name changed? It’s a frustratingly common scenario for anyone working with dynamic or external data ...
At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...
Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
Is your feature request related to a problem or challenge? People may need to write flexible SQL queries that adapt to different table schemas without hardcoding column names. Query reusability is ...
Abstract: In streaming systems with a discrete CPU-GPU architecture, leveraging the strengths of both processing units can significantly improve query performance. Existing studies assign entire ...
The rapid expansion of AI systems and large language models has created a complex landscape where each model presents unique tradeoffs in performance, cost, and speed. Martian’s model router addresses ...
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