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.
analytics
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I'm not getting it...what's the point of DBT?
Take a look at gitlab's dbt project: https://gitlab.com/gitlab-data/analytics/-/blob/master/transform/snowflake-dbt/models/common/schema.yml
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How would you structure a repo with 10+ ETL pipelines and shared code?
A good reference is the Gitlab data team repo. https://gitlab.com/gitlab-data/analytics
- What are your favourite GitHub repos that shows how data engineering should be done?
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Are there any open corporate Data Team repositories / projects besides GitLab?
For example, their Data Team have a public repository, with a bunch of information on how they organize DAGs, machine learning projects, system configuration, etc.
- Kimball Dim Modelling Code Examples
- Can someone help me, an absolute newbie, understand the usage and benefit of dbt with practical example ?
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Is jinja templating right for DBT?
So I've run through the DBT tutorial stuff and looked over some fairly complex uses of it i.e. GitLab Data and I was wondering if anyone has any opinions or insights into the use of jinja templating in the sql?
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Where can I find free data engineering ( big data) projects online?
Gitlab has their DBT repo open source and is very useful for seeing how to structure a project at scale. https://gitlab.com/gitlab-data/analytics/-/tree/master/transform/snowflake-dbt
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Gitlab's Data Team Platform (in depth look at their stack)
Currently the team is working hard on this: https://gitlab.com/gitlab-data/analytics/-/issues/9508
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Can someone explain the big deal with dbt?
GitLab's dbt project is an excellent example of a mature project at scale. They also have a comprehensive guide to their methodology.
datahub
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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.
- Any reason why I shouldn't give my dbt docs to everyone?
What are some alternatives?
dbt-synapse - dbt adapter for Azure Synapse Dedicated SQL Pools
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
dagster - An orchestration platform for the development, production, and observation of data assets.
amundsen - Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
castled - Castled is an open source reverse ETL solution that helps you to periodically sync the data in your db/warehouse into sales, marketing, support or custom apps without any help from engineering teams
OpenLineage - An Open Standard for lineage metadata collection
AdvancedSQLPuzzles - Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
atlas - Manage your database schema as code
lightdash - Self-serve BI to 10x your data team ⚡️
metacat
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.
Atlas - 🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and security.