Self-Managed (On-Premise / Cloud Stacks)Dataiku’s software is installed on our client’s cloud environment or installed onto our clients’ internal IT environment. Dataiku, as a company, does not process, store our client’s data under this delivery method by default. Without explicit consent...
Dataiku Architecture Deploying Dataiku Instances to Cloud Stacks Instance Templates Setup Actions for Instance Templates Virtual Networks Instance Management from Fleet Manager Next Dataiku Architecture Previous Tutorial | Data governance with the GDPR plugin ...
For the cloud stacks accelerator, we need to start with a virtual network that we can install the software into so that Dataiku can communicate with other instances and databases within the customer environment. Then, the next layer down would be cloud permissions for the fleet manager (the com...
DSS enables to go quickly from raw data to predictive models. DSS combines data preparation, workflows, visualisation, statistics and models optimization in a single unified web interface. It connects to Hadoop, NoSQL, Cloud storage and can be extended in Python and R.Dataiku...
Dataiku broadens LLM Mesh across cloud and AI player ecosystem New Dataiku LLM Registry fortifies LLM Mesh with added layer of governance to qualify, document, and frame LLM usage. Daniel ShepherdAugust 19, 2024, 1:57 pm News Dataiku survey shows that most data stacks are not built to meet ...
Dataiku Cloud Stacks for GCP Custom Dataiku install on Linux Other installation options Elastic AI computation Concepts Initial setup Managed Kubernetes clusters Using Amazon Elastic Kubernetes Service (EKS) Using Microsoft Azure Kubernetes Service (AKS) Using Google Kubernetes Engine (GKE) Using code env...
"""Returns the node id (as defined in Cloud Stacks or in install.ini)""" return self._data["nodeId"] @property def node_name(self): """Returns the node name as it appears in the navigation bar""" return self._data["nodeName"] @property def node_type(self): """ Returns the...