Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
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Updated
May 31, 2024
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.
HiveMQ Edge is an MQTT gateway that enables interoperability between OT devices and IT systems. It translates diverse protocols into MQTT for streamlined communication and helps organize data into a unified namespace, making managing and streaming data across your infrastructure easier.
A data lineage tool detects table dependencies from rendered SQL statements.
Collect, aggregate, and visualize a data ecosystem's metadata
Pebblo enables developers to safely load data and promote their Gen AI app to deployment
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Egeria core
Automation framework to catalog AWS data sources using Glue
SQL Lineage Analysis Tool powered by Python
System Design, Solution Architecture, Data Systems Practice
Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.
Open Source Data Quality Monitoring.
Reference implementation for real-time Data Lineage tracking for BigQuery using Audit Logs, ZetaSQL and Dataflow.
Data governance through AWS LakeFormation credentials vending API
Integration for collecting metadata from Great Expectations
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