Azure Data Bricks(Advanced) Syllabus

1. Databricks Lakehouse Fundamentals

• Modern Architecture: Data Engineering Architecture & Databricks Lakehouse Platform
• Workspace Setup: Workspace Components, Clusters & Notebook Development
• Lakehouse Design: Medallion Architecture (Bronze, Silver, Gold)

2. Delta Lake Internals & Architecture

• Delta Fundamentals: Delta Lake Introduction & Table Management
• Internal Architecture: Transaction Log, ACID Transactions & Delta Internals
• Data Quality: Constraints, Rules & Metadata Management

3. Advanced Delta Lake Features

• Schema Management: Schema Enforcement & Evolution
• Data Recovery: Time Travel, Vacuum Operations & Backup Strategies
• Advanced Features: Change Data Feed (CDF), Delta Sharing & Version Management

4. Delta Performance Optimization

• Optimization Techniques: OPTIMIZE Command, Auto Compaction & Z-Ordering
• Storage Optimization: Partitioning Strategies & Small File Management
• Performance Tuning: Data Skipping, Disk Cache & Query Optimization

5. Streaming & Real-Time Data Processing

• Structured Streaming: Streaming Fundamentals & Processing Models
• Real-Time Architectures: Stream-to-Stream & Stream-to-Batch Processing
• Enterprise Design: Watermarking & Incremental Processing Frameworks

6. Auto Loader Frameworks

• File Ingestion: Auto Loader Fundamentals & Incremental Processing
• Schema Handling: Schema Drift Detection & Management
• Advanced Integration: Streaming Pipelines & Liquid Clustering

7. Unity Catalog & Data Governance

• Governance Framework: Unity Catalog Architecture & Data Governance
• Security Controls: Access Control, Permissions & Security Policies
• Advanced Governance: Row-Level & Column-Level Security

8. Delta Live Tables (DLT)

• DLT Fundamentals: Architecture, Design Patterns & Pipeline Creation
• Data Processing: Bronze-Silver-Gold Implementations
• Monitoring: Pipeline Management, Streaming Tables & Materialized Views

9. Advanced Delta Live Tables

• Data Quality Framework: Expectations, WARN, DROP & FAIL Rules
• Advanced Processing: SCD Type 1 & Type 2 Implementations
• Production Features: Event Monitoring, Full Refresh & File Arrival Processing

10. Lakeflow & Modern Pipeline Frameworks

• Next-Generation Pipelines: Spark Declarative Pipelines & Lakeflow
• Migration Strategies: DLT to Lakeflow Migration
• Best Practices: Modern Architecture & Delta Sink Design

11. Databricks Workflow Orchestration

• Workflow Automation: Databricks Workflows & Job Scheduling
• Production Deployment: Multi-Task Jobs & Dependency Management
• Monitoring: Alerts, Notifications & Deployment Strategies

12. End-to-End Real-Time Projects

• Project 1: Auto Loader to Bronze-Silver-Gold Framework
• Project 2: Change Data Feed (CDF) Incremental Framework
• Project 3: Streaming Data Pipeline with Delta Lake
• Project 4: Enterprise Delta Live Tables Framework
• Project 5: Unity Catalog Governance Implementation
• Project 6: End-to-End Lakehouse Architecture Project

13. Advanced Interview Preparation

• Architecture Questions: Databricks, Delta Lake & Lakehouse Concepts
• Platform Expertise: DLT, Unity Catalog & Auto Loader Scenarios
• Performance Tuning: Broadcast Joins, AQE & Optimization Techniques
• Career Readiness: Mock Interviews, System Design & Production Support

14. Course Highlights

• 100% Hands-On Training & Real-Time Industry Use Cases
• Delta Lake Internals & Performance Optimization
• Auto Loader Frameworks & Streaming Architectures
• Unity Catalog Governance & Security
• Delta Live Tables (DLT) & Lakeflow Pipelines
• Enterprise Projects & Production Support Knowledge
• Interview Preparation, Resume Building & Mock Interviews