mParticle by Rokt Databricks Connector

**Overview**
mParticle by Rokt integration with Databricks enables seamless, bidirectional data flows between mParticle and Databricks. By ingesting data from Databricks, you can unlock mParticle’s capabilities in advanced customer personalization, multi-tiered data governance, and audience targeting capabilities through its composable and flexible platform. Additionally, mParticle can also forward your data directly into Databricks to support AI/ML model training, streamline customer data strategies, and optimize compute costs.

**Key Features**

- Real-Time Audience Activation: Enhance your audience activation in real-time across channels by importing user profiles and event data from Databricks into mParticle.
- Multi-Tiered Governance: like data filtering, schema controls, and automated DSR processing to comply with privacy regulations and maintain data quality.
- Fully Configurable: mParticle’s flexible, composable platform integrates with your existing tech stack, unifying data and removing silos for greater speed and accuracy.
- Enhance AI/ML Models: Strengthen your AI/ML model training by exporting refined audience segments and event data from mParticle to Databricks, boosting personalization and analytics.

**Benefits**
- Activate customer data: Gain real-time access to enriched profiles and events for precise targeting and improved customer engagement.
- Create a unified customer view: Achieve a single source of truth with clean, unified data, enabling cohesive insights across teams.
- Understand customer journeys: Leverage AI-driven insights to personalize customer journeys and drive impactful, cross-channel engagement.
- Lower acquisition costs: Grow your customer base cost-effectively using first-party data for suppression, lookalike modeling, and targeted content.

**How to get started**
Setting up the mParticle Databricks Connector is easy—simply have your Databricks credentials ready. For a detailed setup instructions, explore mParticle Warehouse Sync (reverse-ETL) [documentation](https://docs.mparticle.com/guides/data-warehouse-sync/), and the outbound integration [documentation](https://docs.mparticle.com/integrations/databricks/data-warehouse/). You can also explore the mParticle platform demo [here](https://www.mparticle.com/explore-platform/).