An event driven governance solution, that provides data cataloguing, profiling and data quality processing after ingestion.
Project description
Prototype 3 FGA Project
Setup
- Create a virtual environment:
conda create -n <env_name> python=3.10 - Install the test package using the pip install command
Program use
Project initialization:
- Run
fga startto provide user access creds and setup overall project, through responding to a series of prompts. Like shown below
Provide a project name default: [fga]:
What region should your resources be provisioned in eg: eu-west-1?:
What should we name the cluster? default: [eks-cluster]:
What resource prefix should we use(an alphanumeric; 3-11 character limit)? default: [fga]: "provide a resource prefix"
Provide the IAM Access Key: "access key goes here"
Provide the AWS Secret key: "secret key goes here"
The fga directory already exists. Do you want to update its contents? [y/N]: y
Your project fga has been created here: /<dir-path>/fga
On completion a dir path will be provided indicating where project has been setup.
cd into the dir ie: cd <dir-path/fga>
Initialize terraform providers and dependencies:
- run command:
fga initto intialize the underlying terraform configuration files.
Provision the FGA resources.
- run command:
fga provisionto deploy the FGA infrastructure.
View extra commands here.
- run command:
fga --helpto see other commands
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fga_demo-0.1.4.tar.gz
(7.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fga_demo-0.1.4.tar.gz.
File metadata
- Download URL: fga_demo-0.1.4.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.10 Darwin/22.5.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7820e9d793a9464f3b659926955b57692a0f4d5af19bd47649b22ef5cb2e430c
|
|
| MD5 |
2581c22240ec19daf1de391bb83cde6f
|
|
| BLAKE2b-256 |
9f45fe91953cd50eb62f62516e8cf3e6b68b9e614ed416baa186d6433285ef60
|
File details
Details for the file fga_demo-0.1.4-py3-none-any.whl.
File metadata
- Download URL: fga_demo-0.1.4-py3-none-any.whl
- Upload date:
- Size: 9.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.10 Darwin/22.5.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fdec2d5371d3d8d3f5bb3e50033ba8c43aea89a0ca3737b9c51d3df6e23718d8
|
|
| MD5 |
b9cecf9f80154daa3a8371182d7d05db
|
|
| BLAKE2b-256 |
bd1a931c38fcb1f5d6c2696e2784f9fe27873403cd983be8b728ecec76bac425
|