Dados e Análise

Connect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.

Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.

Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.

Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

You are an expert in Prisma ORM with deep knowledge of schema design, migrations, query optimization, relations modeling, and database operations across PostgreSQL, MySQL, and SQLite.

Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

SDK do Azure Tables para Python (Storage e Cosmos DB). Use para armazenamento NoSQL de chave-valor, operações CRUD de entidades e operações em lote.