Structured Vs Unstructured Data Examples and Types
Experts estimate that the global data analytics market will surpass $500 billion by 2030, showing just how crucial data has become for business decision making. But simply collecting huge volumes of information is not enough. The real value comes from being able to...
How to Build a Text-to-SQL Agent With RAG, LLMs, and SQL Guards
Enterprises today expect analytics to be fast, accurate, and accessible to everyone, not just technical teams. But traditional dashboards and SQL heavy workflows still rely on developers or analysts to translate business questions into queries. That is why Text to SQL...
Tracking Patient Outcomes in Real Time with Text to SQL
In today’s data-driven healthcare world, tracking patient outcomes in real time is more important than ever. It helps doctors make faster decisions, improves hospital operations, and leads to better patient care. But most Electronic Health Records (EHRs) and clinical...
Choosing the Right Text-to-SQL Agent for Your BI Stack
Business intelligence (BI) is changing fast with the rise of advanced data tools. One key change is the use of natural language interfaces, like Text-to-SQL agents. These tools let users ask questions in plain language and get answers directly from databases. As a...
How Text to SQL is Transforming Financial Reporting and Risk Analysis
In the rapidly evolving financial sector, data-driven decision-making has become essential. Financial institutions and analysts rely on vast amounts of structured data for reporting, compliance, and risk assessment. Traditional SQL-based queries require expertise,...
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