Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

BigQuery is a monster at scale on loading big volumes of data but processing that output real-time into an AI model requires ...

Flipside allows users to type a question, get an answer, and even review blind spots in the data. This includes spotting ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Introduction As agents become integrated with more advanced functionality, such as code generation, you will see more Remote ...

HackerRank isn’t just a random collection of problems; they’ve organized their SQL section pretty well. You can find ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

To unlock the full benefits of agentic AI, organizations need to bring together data from multiple sources in a way that users can trust. Strong guardrails, clear permissions, and full audit trails ...

What makes Cursor different is its AI-driven features like smart autocomplete, natural language code editing, and ...

Have you ever felt like your interactions with AI could be smarter, sharper, or just plain better? With the release of ChatGPT 5, many users are discovering its impressive ability to tackle complex ...

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GitHub’s CodeQL is a robust query language originally developed by Semmle that allows you to look for vulnerabilities in the source code ...