Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Abstract: With the widespread adoption of complex SQL queries in modern data environments, traditional data lineage tools face challenges in parsing accuracy and coverage, struggling to meet the ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

I was doing several Proof of Concepts(POC's) on AI search which could automatically generate SQL queries based upon the user input/question like "Give me last month sales data". So the AI Agent will ...

Abstract: Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although ...

With most Excel spreadsheets, you enter data manually into cells and then use formulas or other functions to analyze it or perform calculations. If you have a large data source, such as an Access ...

SQL, the Structured Query Language, remains one of the most widely used programming languages, coming in fourth in Stack Overflow’s research for 2023. Just over half (51.52%) of professional ...

Query Parser is a library for easy building dynamic SQL queries to Database. It provides a simple API for web-applications which needs to do some filtering throught GET queries. It is a connector ...