data pipeline
Databricks Connector
Lakehouse AI integration for multimodal data
Bring Mixpeek's multimodal processing into the Databricks Lakehouse with native notebook support and Delta Lake integration. Enrich tables at scale, generate embeddings for Unity Catalog assets, and build feature tables for downstream ML models.
databricks
lakehouse
delta lake
MLflow
feature store
unity catalog
Get Started
Integrations
Databricks
Delta Lake
MLflow
Unity Catalog
Quick Install:
npm install @mixpeek/databricksUse Cases
1
Building multimodal feature stores on Delta Lake
2
Enriching Unity Catalog datasets with AI signals
3
Training ML models on Mixpeek-generated embeddings
4
Batch classification of unstructured lakehouse data
Features
Delta Lake reader and writer for enriched data
MLflow integration for experiment tracking
Unity Catalog compatible enrichment functions
Notebook-friendly API with display helpers
Cluster-aware parallel processing
Get Started
Integrations
Databricks
Delta Lake
MLflow
Unity Catalog
Details
LicenseApache 2.0
Categorydata pipeline
Registrynpm
Quick Info
LicenseApache 2.0
Categorydata pipeline
Registrynpm
Ready to integrate?
Get started with Databricks Connector in minutes. Check out the documentation or explore the source code on GitHub.