Données · GitHub

Community supported integrations for the Dagster platform.

A collection of AI skills for working with Dagster

Database Abstraction Layer (DAL) in Go language

• Keep application logic independent from a concrete database client.
• Use the same record, query, and transaction shape across supported adapters.

Methods for better worker data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioner to get value from common workforce-oriented data sets.

A zero-config VS Code database extension with affordances to aid development and debugging.

• Zero-config detection. DevDb reads Laravel, Rails, Django, AdonisJS, DDEV, Supabase, Prisma, Drizzle, docker-compose, Wrangler and DATABASE_URL setups. More
• Browse and edit. Filter rows, edit values, set null, delete rows. Undo, redo and save with Cmd+Z, Cmd+Y and Cmd+S. More

A curated, but incomplete, list of data-centric AI resources.

Kazakh full-text search extension for PostgreSQL

Tips, resources, and study materials for the AWS Data Engineer associate certification exam

We are a group of dedicated data engineers at DataBurst, excited to share comprehensive roadmaps tailored for data engineering professionals at all levels—from those just starting out to the most seasoned experts.

A modern web-based user interface for dbt-core projects

• Project Browser: Browse your dbt project structure with an intuitive tree view. Each user works on their own branch in a separate git worktree on the server (hover the question mark next to the branch name to see its path); switching to another project asks for confirmation first
• Code Editor: Edit SQL models, YML configurations, tests, and macros with Monaco Editor

This is a template you can use for your next data engineering portfolio project.