https://github.com/aginity/SQL-Server
Sample and community created SQL Server Aginity query packages available to download and use immediately in Aginity Pro or Team
https://github.com/aginity/SQL-Server
Last synced: 5 months ago
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Sample and community created SQL Server Aginity query packages available to download and use immediately in Aginity Pro or Team
- Host: GitHub
- URL: https://github.com/aginity/SQL-Server
- Owner: aginity
- License: mit
- Created: 2019-09-17T14:05:11.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-11-01T03:49:35.000Z (over 5 years ago)
- Last Synced: 2024-08-09T02:19:56.838Z (8 months ago)
- Homepage:
- Size: 9.77 KB
- Stars: 2
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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- jimsghstars - aginity/SQL-Server - Sample and community created SQL Server Aginity query packages available to download and use immediately in Aginity Pro or Team (Others)
README
# SQL Server Query Packages for Aginity Pro or Team
This repository has useful SQL Server administrative, analytic and data engineering queries you can use to do common tasks or get your SQL written faster and more efficient. You can take any of the aginitypkg files and immediately import them into Aginity Pro and Team.
Reference how to documentation in the https://github.com/aginity/Documentation-for-Using-Aginity-Catalog-Packages repository or from our documentation directly at https://documentation.aginity.com
To get started with using query packages a few pre-requisites:
1. You must have Aginity Pro or Team installed. Visit our website aginity.com/products to download Aginity Pro for free or evaluate Aginity Team.
2. You must have access to a SQL Server database and appropriate permissions to the catalog tables.
The folders within this repository represent classes of query packages which may interest you.
**Administrative Query Packages** - Our DBA or admin queries that allow you to do common functions like produce a list of drop statements for tables that match a name or look at database active sessions.
**Analytic Queries** - When available these are queries that do analytic type analysis or transformations either on sample databases that ship with your platform or on simple data sets that you can see how to do the analytic and then can easily transfer it to your business data tables.
**Data Engineering Queries** - These are SQL queries that do more complex data engineering tasks like pivoting rows into columns or other examples that are regularly used by our data engineering community.
If you would like to add to the community please reference the documentation on contributing in the https://github.com/aginity/Documentation-for-Using-Aginity-Catalog-Packages repository.
If you have any questions don't hesitate to reach out at [email protected]!