This is an unofficial fork from Dataiku' dataiku-tools repository.
- Provide up to date automation tools (docker, kubernetes, ansible not supported for now)
- Define service management policies
https://gallery.dataiku.com/ Next steps - training by industry
https://community.dataiku.com/
links to every doc
https://academy.dataiku.com Next steps - training policy
https://knowledge.dataiku.com/
https://developer.dataiku.com/
Support levels are defined by Dataiku for each feature and service :
- Supported (default)
- Experimental
- Tier 2 support
- Not supported
- Public Preview
- Deprecated
cf https://doc.dataiku.com/dss/latest/troubleshooting/support-tiers.html
This is the recommended mode by dataiku and offers a
With DSS_VERSION
set to be dss version to be build (e.g. 13.1.1):
cd dss-docker
DSS_VERSION=13.3.1
docker build --build-arg dssVersion=${DSS_VERSION} -t dataiku:${DSS_VERSION} .
Docker image release note:
- design node is in almalinux 9 but dss will build other containers in almalinux 8 (e2e consistency to be tested)
- supports R
- includes python 3.11 support (3.10+ required for markitdown - note: dataiku don't support python 3.12)
- supports graphics exports
- includes docker & kube binaries to enable to build images for k8s container execution
To run, with data in DSS_DATADIR
(e.g ~/dss
)
mkdir -p ${DSS_DATADIR}
docker run -d -p 10000:10000 -v ${DSS_DATADIR}:/home/dataiku/dss dataiku:${DSS_VERSION}
cd kubernetes
kubectl apply -f dataiku.yaml
Kubernetes configurqtion release note:
- supports docker-in-docker (dind) with a sidecar container (support) as it is mandatory to enable dssadmin cli to build containers for k8s exectution