Data Lakes and Lakehouses

  1. Data Lakehouse: The Unified Architecture
    1. Conceptual Foundation
      1. Definition and Core Characteristics
        1. Unified Data Platform
          1. Best of Both Worlds Approach
            1. Open Architecture Principles
            2. Architectural Philosophy
              1. Single Copy of Data
                1. Multiple Workload Support
                  1. Decoupled Storage and Compute
                  2. Comparison Framework
                    1. Data Lake vs. Data Lakehouse
                      1. Data Warehouse vs. Data Lakehouse
                        1. Hybrid Architecture Benefits
                      2. Fundamental Design Principles
                        1. Direct Data Access
                          1. Elimination of Data Movement
                            1. Reduced Data Duplication
                              1. Simplified Architecture
                              2. Transactional Capabilities
                                1. ACID Transaction Support
                                  1. Atomicity Guarantees
                                    1. Consistency Enforcement
                                      1. Isolation Levels
                                        1. Durability Assurance
                                        2. Concurrency Control
                                          1. Multi-User Access
                                            1. Lock Management
                                              1. Conflict Resolution
                                            2. Schema Management
                                              1. Schema Enforcement Options
                                                1. Schema Evolution Support
                                                  1. Data Validation Rules
                                                    1. Type Safety Mechanisms
                                                    2. Storage and Compute Separation
                                                      1. Independent Scaling
                                                        1. Cost Optimization
                                                          1. Resource Allocation Flexibility
                                                          2. Open Standards Adoption
                                                            1. Open File Formats
                                                              1. Standard APIs
                                                                1. Vendor Neutrality
                                                                  1. Interoperability Focus
                                                                  2. Multi-Workload Support
                                                                    1. Business Intelligence
                                                                      1. SQL Analytics
                                                                        1. Data Science
                                                                          1. Machine Learning
                                                                            1. Real-Time Processing
                                                                              1. Batch Processing

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                                                                          3. Data Lake Architecture and Concepts

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                                                                          5. Core Technologies Enabling Data Lakehouses