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About Databricks and Risk Cloud®

Databricks is a cloud-based, unified data intelligence platform that combines the performance of a data warehouse with the flexibility of a data lake, designed for data engineering, SQL analytics, and AI/machine learning. With the Risk Cloud Databricks Connector, you can automatically push your critical governance, risk, and compliance (GRC) data directly into your Databricks instance on a regular cadence. Whether you are feeding custom Business Intelligence (BI) backends or powering enterprise-wide reporting, this integration ensures your Risk Cloud data is always synced, accessible, and ready for advanced analysis.

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Why Enable Databricks within Risk Cloud?

Power Your BI and Analytics Backends

Seamlessly unlock the data living within your Risk Cloud environment. Make your risk, compliance, and governance data easily accessible in your Databricks instance to support organization-wide reporting, SQL analytics, and AI-driven insights.

Automate Cross-Workflow Data Syncs

Build custom Table Reports containing record fields from across one or more Risk Cloud workflows and push them to Databricks automatically. The integration relies on a primary key to intelligently “upsert” rows—updating existing records and creating new ones—to ensure your data lake remains accurate and free of duplicates.

Centralize Audit and Access History

Maintain a rigorous, externally accessible log of system activity. Push comprehensive Record Audit History (such as record creations, assignments, and deletions) or User Audit History (including remote IP addresses, and successful or failed login attempts) directly into your Databricks tables for advanced security monitoring.

Flexible, Scheduled Cadences

Choose the data synchronization schedule that best fits your engineering and reporting needs. Configure the integration to poll and push Risk Cloud data into Databricks at an hourly, daily, weekly, or monthly cadence.

Drive Efficiency

Automate manual work to save time, reduce costs, and free risk and compliance teams to focus on critical work.

10
Integration Service Hours

Expected Time to Implement

Customers must create a Databricks table that mirrors their Risk Cloud report structure prior to implementation and provide write-access via a Personal Access Token, Databricks Workspace URL, SQL Warehouse ID, Catalog Name, and Schema Name. Please contact your LogicGate Account Team to begin scoping.

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