fides
datahub
fides | datahub | |
---|---|---|
3 | 35 | |
359 | 9,885 | |
1.1% | 1.6% | |
9.8 | 10.0 | |
4 days ago | 3 days ago | |
Python | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fides
- Fides: The Privacy Engineering and Compliance Framework
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What data governance tool are you folks using?
I’ve also been impressed with the approach of Fides, an open source privacy management framework that ties into ci/cd, though I haven’t used it myself yet. The thing about it that stood out was Fideslang, their language and taxonomy for representing data privacy primitives.
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Privacy-as-Code: Preventing Facebook’s $5B violation using Fides Open-Source
Fides is built to solve for problems like this. In its current release, you can already draft a policy in YAML using fideslang and enforce that policy to ensure engineers across a team can’t accidentally or intentionally misuse data in a way that deviates from the promises a business or application makes to its users.
datahub
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Guided Data Access Patterns: A Deal Breaker for Data Platforms
There are several commercial providers, but I would definitely recommend Data Hub Project. DataHub Project is an open-source metadata platform that serves as an extensible data catalog and supports data discovery, data observability, and federated governance to address the complexity of the data ecosystem. The data catalog enables the combination of technical, operational and business metadata to provide a 360-degree view of data entities. DataHub makes it possible to pre-enrich important metadata using shift-left practices and respond to changes in real time.
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Ask HN: Looking for DB schema management tool
Sounds like you are looking for a data catalog tool instead of db schema management tool. You can check out Amundsen (https://www.amundsen.io/), DataHub (https://datahubproject.io/)
If you are looking for schema change management tool, then you can check out Bytebase (bytebase.com). But it can't answer questions like "which collections contain links to bigmongo.user.id?"
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Which open source or commercial tools are used for Data Governance and access management
IIUC DataHub (open source project out of LinkedIn) might be relevant here
- ODD Platform - An open-source data discovery and observability service - v0.12 release
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What data governance tool are you folks using?
I’m a huge fan of DataHub, the open source data catalogue spun out of LinkedIn, but it’s best thought of as an observability layer for data assets that can be shared by data engineers and analyst-types. For data users: it’s a stellar search/discovery interface (what datasets are there on this keyword, which are most broadly used across the organization, what downstream products are made with this data, what’s it usually joined to, are it’s upstream pipelines reliable). For data engineers, it’s a comprehensive asset cataloger, crawling your warehouse, orchestrator, modeling layers, features, and reports, matching the lineage into a graph where it can.
- Our data catalog is difficult to manage and not built for the wider org - what can we do?
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What's the best way to build documentation for a data infrastructure? any existing tools
If you are looking for a data cataloguing solution, look at Datahub. Haven't used it, but heard good things about it.
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Looking for an "offline" data discovery platform
What I am looking for is a solution (similar to Amundsen or [Datahub](https://datahubproject.io/)) that also allows to add tables and their metadata manually.
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Looking for an open-source data lineage app, where objects and connections can be manually defined (not just automatically ingested)
Hello everyone, I'm looking for an open-source data lineage app (e.g. tokern, datahubproject, openmetadata).
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How do you document your dashboards?
What about DataHub? Haven't really used it but I'm actively reading about it and about to use it for some light documentation for some small pipelines.
What are some alternatives?
awesome-machine-unlearning - Awesome Machine Unlearning (A Survey of Machine Unlearning)
OpenMetadata - OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
differential-privacy-library - Diffprivlib: The IBM Differential Privacy Library
amundsen - Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
fiftyone - Refine high-quality datasets and visual AI models
OpenLineage - An Open Standard for lineage metadata collection
fideslang - Open-source description language for privacy to declare data types and data behaviors in your tech stack in order to simplify data privacy globally. Supports GDPR, CCPA, LGPD and ISO 19944.
atlas - Manage your database schema as code
dvc - 🦉 Data Versioning and ML Experiments
metacat
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
Atlas - 🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and usability.