Batch and streaming are two different ways of processing data, and both are relevant in today’s world. Pick the approach that’s right for you without falling ...

Measured preparation costs and processing speeds for fetching 100 blocks of data On October 12th of this year, I had the ...

Whether you're building real-time streaming pipelines or deploying production generative AI applications, this guide breaks ...

Google's crawler now strictly enforces standard JSON formatting when reading your site's structured data, schema markup, instead of auto-correcting double-escaped HTML text. "To bring our parser up to ...

This project NLToSql-Phi3_ServerlessDeployment.py demonstrates how to use the Phi-3 model deployed as a serverless API in Azure to convert natural language queries to SQL queries. The project includes ...

Now in Beta, the agentic code converter uses Genie Code to convert proprietary SQL to open ANSI SQL, launching swarms of parallel agents that iteratively convert code, validating syntax and semantic ...

JSON is great for APIs, storage, and application logic. But inside large language model (LLM) pipelines, it often carries a lot of token overhead that does not add much value to the model: braces, ...

Learn Python, SQL, Power BI, AI and more, for $0. No credit card required. Just unlimited learning. AI may generate code, but Python makes it work. As AI accelerates automation and lowers the barrier ...

Hello there! 👋 I'm Jin, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI In the era of big data and diverse data formats, the ability to store and query ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...