Data Lakes and Lakehouses

  1. Traditional Data Warehouse Architecture
    1. Core Concepts and Principles
      1. Schema-on-Write Approach
        1. Predefined Data Models
          1. Data Validation at Ingestion
            1. Structure Enforcement
            2. ETL Process Framework
              1. Data Extraction Methods
                1. Full Extraction
                  1. Incremental Extraction
                    1. Change Data Capture
                    2. Data Transformation Techniques
                      1. Data Cleansing
                        1. Data Standardization
                          1. Data Aggregation
                            1. Business Rule Application
                            2. Data Loading Strategies
                              1. Bulk Loading
                                1. Incremental Loading
                                  1. Real-Time Loading
                                2. Data Integration Principles
                                  1. Master Data Management
                                    1. Data Quality Assurance
                                      1. Metadata Management
                                    2. Architectural Components
                                      1. Relational Database Management Systems
                                        1. RDBMS Fundamentals
                                          1. Transaction Processing
                                            1. Concurrency Control
                                              1. Query Optimization
                                              2. Data Modeling Approaches
                                                1. Dimensional Modeling
                                                  1. Star Schema Design
                                                    1. Fact Table Structure
                                                      1. Dimension Table Design
                                                        1. Relationship Management
                                                        2. Snowflake Schema Design
                                                          1. Dimension Normalization
                                                            1. Storage Optimization
                                                              1. Query Complexity Trade-offs
                                                            2. Data Vault Modeling
                                                              1. Hub Entities
                                                                1. Satellite Attributes
                                                              2. Specialized Components
                                                                1. Data Marts
                                                                  1. Subject-Oriented Design
                                                                    1. Departmental Focus
                                                                      1. Independent vs. Dependent Architecture
                                                                      2. OLAP Cubes
                                                                        1. Multidimensional Analysis
                                                                          1. Pre-Aggregated Data
                                                                            1. Drill-Down Capabilities
                                                                        2. Strengths and Advantages
                                                                          1. High Performance Analytics
                                                                            1. Optimized Query Processing
                                                                              1. Indexed Data Access
                                                                                1. Pre-Aggregated Results
                                                                                2. Data Quality Assurance
                                                                                  1. Schema Validation
                                                                                    1. Referential Integrity
                                                                                      1. Data Consistency Enforcement
                                                                                      2. Mature Governance Framework
                                                                                        1. Security Controls
                                                                                          1. Access Management
                                                                                            1. Audit Capabilities
                                                                                            2. Established Ecosystem
                                                                                              1. BI Tool Integration
                                                                                                1. Reporting Platforms
                                                                                                  1. Analytics Applications
                                                                                                2. Limitations and Challenges
                                                                                                  1. Inflexibility Issues
                                                                                                    1. Schema Change Complexity
                                                                                                      1. Data Type Restrictions
                                                                                                        1. Structure Modification Overhead
                                                                                                        2. Cost Considerations
                                                                                                          1. High Storage Costs
                                                                                                            1. Compute Resource Expenses
                                                                                                              1. Licensing Fees
                                                                                                              2. Scalability Constraints
                                                                                                                1. Volume Limitations
                                                                                                                  1. Performance Degradation
                                                                                                                    1. Real-Time Processing Challenges
                                                                                                                    2. Advanced Analytics Limitations
                                                                                                                      1. Machine Learning Integration
                                                                                                                        1. Unstructured Data Processing
                                                                                                                          1. Exploratory Data Analysis
                                                                                                                          2. Data Silo Creation
                                                                                                                            1. Departmental Isolation
                                                                                                                              1. Integration Challenges
                                                                                                                                1. Duplicate Data Storage