dbt-synapse
datahub
dbt-synapse | datahub | |
---|---|---|
2 | 34 | |
64 | 9,252 | |
- | 1.5% | |
9.0 | 9.9 | |
8 days ago | about 15 hours ago | |
Python | Java | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
dbt-synapse
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How to load parquet files from Azure Data Lake Gen2/Azure Blob Storage to Dedicated pool using dbt?
I'm using dbt-synapse: https://github.com/dbt-msft/dbt-synapse
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Can someone explain the big deal with dbt?
Have you tried dbt-synapse? I'm the maintainer and I'd love to hear what you think is missing. Also, w.r.t. dbt cloud support for Synapse -- it's something we're working on, but we're we need buy-in from MSFT first!
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-external-tables - dbt macros to stage external sources
OpenMetadata - Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
analytics
amundsen - Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
azure-sql-db-openai - Samples on how to use Azure SQL database with Azure OpenAI
OpenLineage - An Open Standard for lineage metadata collection
azure-sql-hyperscale-autoscaler - Autoscaling Azure SQL Database Hyperscale with Azure Functions
atlas - Manage your database schema as code
sqlglot - Python SQL Parser and Transpiler
metacat
django-pyodbc-azure - Django backend for Microsoft SQL Server and Azure SQL Database using pyodbc
Atlas - 🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and security.