Syllabus for Databricks Unity Catalog, organized from beginner to advanced levels:
| Module | Topics Covered | Level |
|---|---|---|
| Introduction to Databricks and Unity Catalog | Overview of Databricks Platform Introduction to Unity Catalog Use Cases and Benefits | Beginner |
| Getting Started with Unity Catalog | Unity Catalog Concepts Setting Up Unity Catalog Basic Navigation in Unity Catalog Creating Catalogs, Schemas, and Tables | Beginner |
| Data Governance with Unity Catalog | Understanding Data Governance Role-Based Access Control (RBAC) Data Lineage and Auditing Setting Permissions on Data Assets | Intermediate |
| Managing Data Assets in Unity Catalog | Managing Tables and Views Managing External Tables Working with Delta Lake in Unity Catalog Data Quality and Integrity | Intermediate |
| Advanced Data Security and Compliance | Data Masking and Encryption Compliance Management (e.g., GDPR, CCPA) Managing Sensitive Data Audit Logging and Monitoring | Advanced |
| Integrating Unity Catalog with Other Databricks Services | Integration with Databricks SQL Integration with Databricks Data Science and Machine Learning Workflows Unity Catalog API and Automation | Advanced |
| Optimizing Performance in Unity Catalog | Performance Tuning for Queries Data Partitioning and Z-Ordering Caching and Indexing Strategies Optimizing Delta Lake Tables | Advanced |
| Advanced Data Lineage and Metadata Management | Advanced Data Lineage Capabilities Custom Metadata Management Tracking Data Provenance Best Practices for Metadata Management | Advanced |
| Collaboration and Sharing with Unity Catalog | Data Sharing Across Teams and Organizations Using Delta Sharing Best Practices for Collaborative Data Workflows | Advanced |
| Case Studies and Best Practices | Real-world Use Cases Best Practices for Implementing Unity Catalog Lessons Learned from Industry Deployments | Advanced |
| Capstone Project | Designing and Implementing a Comprehensive Data Governance Solution Using Unity Catalog | Advanced |
1. Introduction to Databricks and Unity Catalog
- Overview of Databricks
- Introduction to Databricks Lakehouse Platform
- Key components: Databricks Workspaces, Clusters, Notebooks, etc.
- Introduction to Unity Catalog
- What is Unity Catalog?
- Unity Catalog vs. Hive Metastore
- Key features and benefits
2. Getting Started with Unity Catalog
- Setting Up Unity Catalog
- Prerequisites and configurations
- Enabling Unity Catalog in Databricks
- Basic Concepts
- Managed tables vs. External tables
- Schemas, catalogs, and databases in Unity Catalog
- Data Governance and Compliance
3. Data Management in Unity Catalog
- Catalogs, Schemas, and Tables
- Creating and managing catalogs and schemas
- Creating, querying, and managing tables
- Views and Functions
- Creating and managing views
- User-defined functions (UDFs) in Unity Catalog
4. Security and Governance
- Access Control in Unity Catalog
- Role-based access control (RBAC)
- Granting and revoking privileges
- Data Lineage
- Tracking data lineage in Unity Catalog
- Audit and Compliance
- Monitoring and auditing data access
- Ensuring regulatory compliance with Unity Catalog
5. Advanced Data Management
- Managing Large-Scale Data
- Partitioning strategies for large datasets
- Performance optimization techniques
- Data Sharing
- Delta Sharing with Unity Catalog
- Sharing data across organizations securely
- Data Masking and Row-Level Security
- Implementing data masking for sensitive information
- Configuring row-level security for fine-grained access control
6. Integration with Other Databricks Features
- Integration with Delta Lake
- Leveraging Delta Lake features in Unity Catalog
- Time travel and versioning
- Unity Catalog with Databricks SQL
- Querying data with Databricks SQL
- Building and managing dashboards
- Unity Catalog with ML and AI
- Using Unity Catalog for ML data management
- Integrating Unity Catalog with Databricks Machine Learning
7. Best Practices and Troubleshooting
- Best Practices for Unity Catalog
- Naming conventions
- Data organization and partitioning
- Performance tuning
- Troubleshooting Common Issues
- Common setup and configuration issues
- Debugging performance problems
- Resolving access and security issues
8. Real-World Use Cases and Projects
- Case Studies
- Unity Catalog in production environments
- Success stories and lessons learned
- Capstone Project
- Building a comprehensive data governance solution with Unity Catalog
- Implementing end-to-end security, data sharing, and compliance
9. Certification Preparation (Optional)
- Databricks Certification Overview
- Available certifications relevant to Unity Catalog
- Practice Exams and Study Resources
- Sample questions and exam simulations
- Recommended study materials and resources
10. Continuing Education and Resources
- Staying Up-to-Date
- Databricks and Unity Catalog release notes
- Joining Databricks community forums and events
- Further Learning
- Advanced courses on Databricks features
- Specialized topics in data governance, security, and compliance
