Data pipelines for AI applications
-
Updated
Jul 6, 2024 - Python
Data pipelines for AI applications
Workflow Engine for Kubernetes
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
The open source high performance ELT framework powered by Apache Arrow
Demo Projects for the AIML Team.
fluent iteration in Python
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Distributed DataFrame for Python designed for the cloud, powered by Rust
Powerful RDF Knowledge Graph Generation with RML Mappings
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
CSVs sliced, diced & analyzed.
🐚 Python-powered shell. Full-featured and cross-platform.
Open Source Feature Flagging and A/B Testing Platform
Python Stream Processing
A comprehensive roadmap and curated resources for aspiring AI Engineers, covering foundational knowledge, core AI concepts, practical experience, projects and how to prepare for these roles.
Proyecto sobre retención de empleados. Análisis de datos en Power BI. Modelos de machine learning y análisis de sentimientos.
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
Complete solution for extracting currency pair quotes data with comprehensive testing, parameter validation, flexible configuration management, Hexagonal Architecture, CI/CD pipelines, code quality tools, and detailed documentation.
An orchestration platform for the development, production, and observation of data assets.
Clean APIs for data cleaning. Python implementation of R package Janitor
Add a description, image, and links to the data-engineering topic page so that developers can more easily learn about it.
To associate your repository with the data-engineering topic, visit your repo's landing page and select "manage topics."