Configuring dbt Model Access using Grants: A Practical Example
Learn how to configure dbt grants so data engineers can query all models, data analysts can query Gold models, and data scientists can query one specific model.
Deep Learning Nerds Academy
The ultimate Learning Platform for AI, Data Science, Data Analytics and Data Engineering.
Search posts, subjects and tutors
Popular subjects
What’s new?
Premium posts
Previous posts
How to Cache LangChain Responses in Python
Learn how to cache LangChain chat model responses in Python with InMemoryCache and SQLiteCache so repeated prompts can return faster and avoid unnecessary model calls.
Claude Desktop Settings Explained for Beginners
Learn the most important Claude Desktop settings for beginners, including model settings, connectors, extensions, developer settings, privacy, and permissions.
What Are Claude Connectors and How Do They Work?
Learn what Claude Connectors are, how they work, how they relate to MCP, and when beginners should use remote connectors or desktop extensions.
How to Stream LangChain Responses in Python
Learn how to stream LangChain model responses in Python so users can see output chunks as they are generated instead of waiting for the full answer.
LangChain Tools Explained for Beginners: Add Function Calling to Your AI Agent
Learn how LangChain tools let AI agents call Python functions, use structured inputs, and go beyond plain text generation.
dbt clone Explained: How to Use dbt clone with a Practical Example
Learn how dbt clone works with a practical dim_student example using production state artifacts and a development target schema.
You might also like
