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Computer Science
Data Science
Data Warehousing and Business Intelligence
1. Introduction to Data Warehousing and Business Intelligence
2. Data Warehouse Architecture and Components
3. Dimensional Data Modeling
4. Data Integration: ETL and ELT Processes
5. Business Intelligence and Analytics Layer
6. Data Analytics and Reporting
7. Data Governance, Quality, and Security
8. Modern Architectures and Advanced Topics
9. Implementation and Project Management
Data Integration: ETL and ELT Processes
ETL vs. ELT Approaches
Traditional ETL Process
Extract-Transform-Load Sequence
Server-Based Processing
Batch Processing Patterns
On-Premise Implementation
Modern ELT Process
Extract-Load-Transform Sequence
In-Database Processing
Cloud-Native Approach
Scalability Advantages
Choosing Between ETL and ELT
Data Volume Considerations
Processing Power Requirements
Latency Requirements
Cost Factors
Data Extraction
Full Extraction Methods
Complete Data Refresh
Use Cases and Limitations
Performance Implications
Scheduling Considerations
Incremental Extraction Methods
Change Detection Strategies
Timestamp-Based Extraction
Flag-Based Extraction
Performance Benefits
Change Data Capture
Log-Based CDC
Trigger-Based CDC
Application-Based CDC
Real-Time Change Detection
Extraction Challenges
Source System Impact
Data Consistency Issues
Network and Connectivity
Error Handling
Data Transformation
Data Cleansing Operations
Duplicate Record Removal
Missing Value Handling
Data Format Standardization
Invalid Data Correction
Data Validation Processes
Data Type Validation
Range and Domain Checks
Business Rule Validation
Referential Integrity Checks
Data Standardization
Format Harmonization
Code Conversion and Mapping
Unit Standardization
Naming Convention Application
Data Integration and Consolidation
Multi-Source Data Merging
Conflict Resolution Strategies
Data Matching and Linking
Master Data Integration
Derived Data Creation
Calculated Fields
Aggregation Operations
Lookup Operations
Complex Business Logic
Data Loading
Initial Load Strategies
Bulk Loading Techniques
Parallel Loading
Performance Optimization
Validation and Verification
Incremental Loading
Insert Operations
Update Operations
Upsert Strategies
Delete Handling
Loading Patterns
Truncate and Reload
Append-Only Loading
Merge-Based Loading
Partition-Based Loading
Load Scheduling and Orchestration
Batch Processing Windows
Dependency Management
Error Recovery Procedures
Monitoring and Alerting
ETL/ELT Tools and Technologies
Traditional ETL Tools
Enterprise ETL Platforms
Feature Comparison
Licensing Models
Implementation Considerations
Cloud-Based Integration Services
Platform-as-a-Service Options
Serverless Integration
Auto-Scaling Capabilities
Cost Models
Open Source Solutions
Community-Driven Tools
Customization Capabilities
Support Considerations
Total Cost of Ownership
Custom Development Approaches
Programming Languages
Framework Selection
Maintenance Requirements
Skill Requirements
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5. Business Intelligence and Analytics Layer