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- Chapter Overview
- Immuta Architecture
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- Installation Overview
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- Install Immuta in an Air-Gapped Environment
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- Chapter Overview
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- Environment Variables
- Databricks Change Data Feed
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- DBFS Access
- Ephemeral Overrides
- External Metastores
- Hiding the Immuta Database in Databricks
- Limited Enforcement in Databricks
- Project UDFs Cache Settings
- Py4j Security Error
- Run spark-submit Jobs on Databricks
- S3 Access in Databricks
- Scala Cluster Security Details
- Security Configuration for Performance
- Spark Direct File Reads
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- Configure Databricks SQL
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- Configure Redshift
- Configure Azure Synapse
- Configure an External Catalog
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- Add a License Key
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- Chapter Overview
- Projects and Purposes
- Value of Projects
- Schema Projects
- Create Purposes and Acknowledgement Statements
- Create a Project
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- Derived Data Sources
- Create a Derived Data Source
- Use Project UDFs (Databricks)
- Policy Adjustments (Public Preview)
- HIPAA Expert Determination (Public Preview)
- Adjust a Policy (Public Preview)
- Use Expert Determination (Public Preview)
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- Immuta Proof of Value (POV)
- Data Setup
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- Schema Monitoring and Automatic Sensitive Data Discovery
- Separating Policy Definition from Role Definition - Dynamic Attributes
- Policy Boolean Logic
- Exception-Based Policy Authoring
- Hierarchical Tag-Based Policy Definitions
- Subscription Policies - Benefits of Attribute-Based Table GRANTs
- Purpose-Based Exceptions
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- Query Your Data Guide
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