Etl Framework
Showing 9 of 9 projects
A server-side data processing pipeline that ingests, transforms, and ships logs and events from multiple sources.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
Open-source data pipelines to sync cloud infrastructure metadata from AWS, Azure, GCP, and 70+ sources into your data warehouse.
Open-source data pipelines for cloud asset inventory, CSPM, FinOps, and vulnerability management across AWS, Azure, GCP, and 70+ sources.
A lightweight Python library for creating portable, expressive, and testable data transformation DAGs with built-in lineage and metadata.
A Python library for defining portable, modular, and testable data transformation DAGs with built-in lineage and metadata.
A distributed data integration framework for big data ecosystems, handling ingestion, replication, organization, and lifecycle management for both streaming and batch data.
Definition and SQL DDLs for the OMOP Common Data Model, enabling standardized observational health data.
A simple, fast, and flexible ETL framework for .NET with built-in readers and writers for CSV, JSON, XML, Parquet, and more.
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