Connect to Dataiku
Dataiku is an end-to-end AI platform for data preparation, AutoML, and MLOps. You can integrate your Databricks SQL warehouses and Azure Databricks clusters with Dataiku.
Connect to Dataiku using Partner Connect
Note
Partner Connect only supports SQL warehouses for Dataiku. To connect a cluster to Dataiku, connect to Dataiku manually.
To connect your Azure Databricks workspace to Dataiku using Partner Connect, do the following:
In the sidebar, click Partner Connect.
Click the partner tile.
Note
If the Dataiku tile has a check mark icon inside it, an administrator has already used Partner Connect to connect Dataiku to your workspace. Skip to step 5. The partner uses the email address for your Azure Databricks account to prompt you to sign in to your existing Dataiku account.
Select a catalog from the drop-down list, and then click Next.
Note
If your workspace is Unity Catalog-enabled, but the partner doesn’t support Unity Catalog with Partner Connect, the workspace default catalog is used. If your workspace isn’t Unity Catalog-enabled,
hive_metastore
is used.Select a schema from the drop-down list, and then click Add. You can repeat this step to add multiple schemas.
Click Next.
Partner Connect creates the following resources in your workspace:
- An Azure Databricks service principal named
<PARTNER>_USER
. - An Azure Databricks personal access token that is associated with the
<PARTNER>_USER
service principal.
Partner Connect also grants the following privileges to the
<PARTNER>_USER
service principal:- (Unity Catalog)
USE CATALOG
: Required to interact with objects within the selected catalog. - (Unity Catalog)
USE SCHEMA
: Grants the ability to read the schemas you selected. - (Unity Catalog)
CREATE SCHEMA
: Grants the ability to create schemas in the selected catalog. - (Legacy Hive metastore)
USAGE
: Required to interact with objects withinhive_metastore
and the selected schemas. - (Legacy Hive metastore)
CREATE
: Grants the ability to create a schema inhive_metastore
. - (Legacy Hive metastore) READ_METADATA: Grants the ability to read metadata for the schemas you selected.
- (Legacy Hive metastore) SELECT: Grants the ability to read the schemas you selected.
- An Azure Databricks service principal named
Click Next.
The Email box displays the email address for your Azure Databricks account. Dataiku uses this email address to prompt you to either create a new partner account or sign in to your existing partner account.
Click Connect to Dataiku or Sign in.
A new tab opens in your web browser, which displays the Dataiku website.
Complete the on-screen instructions on the Dataiku website to create your trial Dataiku account or sign in to your existing Dataiku account.
Connect to Dataiku manually
This section describes how to connect an existing SQL warehouse or cluster in your Azure Databricks workspace to Dataiku manually.
Note
For Databricks SQL warehouses, you can connect to Dataiku using Partner Connect to simplify the experience.
Requirements
Before you connect to Dataiku manually, you need the following:
A cluster or SQL warehouse in your Azure Databricks workspace.
The connection details for your cluster or SQL warehouse, specifically the Server Hostname, Port, and HTTP Path values.
An Azure Databricks personal access token or a Microsoft Entra ID (formerly Azure Active Directory) token.. To create a personal access token, follow the steps in Azure Databricks personal access tokens for workspace users.
Note
As a security best practice, when you authenticate with automated tools, systems, scripts, and apps, Databricks recommends that you use personal access tokens belonging to service principals instead of workspace users. To create tokens for service principals, see Manage tokens for a service principal.
Steps to connect
To connect to Dataiku manually, follow Databricks in the Dataiku documentation.
Additional resources
Explore the following Dataiku resources: