By moving Cortex into dbt and Airflow, Snowflake is aiming to eliminate context switching and pull AI closer to production pipelines, analysts say.

New agent step in Opal figures out the right tools and models it needs to accomplish the user’s objective, Google said.

Perfect for: Data Engineer interviews at Meta, Uber, Airbnb, Netflix, Stripe test-data-eng/ ├── docker-compose.yml # Multi-service orchestration ├── Dockerfile.airflow # Custom Airflow image ├── ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

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 ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

This pipeline processes routing data from multiple providers (OSRM, Google Maps, HERE) to generate predictive ETA ranges for city-wide transportation analysis. It uses H3 hexagonal grids for spatial ...

Today, Snowflake announced an investment in Metaplane, a Boston-based startup helping enterprises identify and rectify data quality issues with an end-to-end AI-powered platform. While the amount ...