Data Lakes and Lakehouses

  1. Data Lake Architecture and Concepts
    1. Fundamental Principles
      1. Centralized Raw Data Repository
        1. Single Source of Truth
          1. Data Preservation
            1. Historical Data Retention
            2. Schema-on-Read Paradigm
              1. Flexible Data Interpretation
                1. Late Schema Binding
                  1. Multiple Schema Views
                  2. ELT Process Model
                    1. Raw Data Ingestion
                      1. In-Place Transformation
                        1. Processing Flexibility
                        2. Universal Data Type Support
                          1. Structured Data Accommodation
                            1. Semi-Structured Data Handling
                              1. Unstructured Data Storage
                            2. Core Architecture Components
                              1. Object Storage Foundation
                                1. Object Storage Characteristics
                                  1. Scalability Properties
                                    1. Durability Features
                                      1. Cost Effectiveness
                                      2. Cloud Storage Platforms
                                        1. Amazon S3
                                          1. Storage Classes
                                            1. Lifecycle Management
                                              1. Security Features
                                              2. Azure Data Lake Storage
                                                1. Hierarchical Namespace
                                                  1. Access Control Lists
                                                    1. Integration Capabilities
                                                    2. Google Cloud Storage
                                                      1. Storage Buckets
                                                        1. Object Lifecycle
                                                          1. Security Controls
                                                      2. Data Processing Engines
                                                        1. Apache Spark
                                                          1. Distributed Computing Framework
                                                            1. In-Memory Processing
                                                              1. Multi-Language Support
                                                                1. Streaming Capabilities
                                                                2. Presto and Trino
                                                                  1. Distributed SQL Query Engine
                                                                    1. Federated Query Capabilities
                                                                      1. Interactive Analytics
                                                                    2. Metadata Management Systems
                                                                      1. Metadata Repositories
                                                                        1. Schema Information
                                                                          1. Data Lineage
                                                                            1. Usage Statistics
                                                                            2. Data Discovery Tools
                                                                              1. Search Capabilities
                                                                                1. Data Profiling
                                                                                  1. Relationship Mapping
                                                                                  2. Cataloging Solutions
                                                                                    1. Apache Atlas
                                                                                      1. AWS Glue Data Catalog
                                                                                        1. Azure Purview
                                                                                      2. Data Ingestion Infrastructure
                                                                                        1. Batch Ingestion Tools
                                                                                          1. Apache NiFi
                                                                                            1. AWS Glue
                                                                                              1. Azure Data Factory
                                                                                              2. Streaming Ingestion Platforms
                                                                                                1. Apache Kafka
                                                                                                  1. Amazon Kinesis
                                                                                                    1. Azure Event Hubs
                                                                                                2. Advantages and Benefits
                                                                                                  1. Cost-Effective Storage
                                                                                                    1. Low Storage Costs
                                                                                                      1. Pay-as-You-Use Model
                                                                                                        1. Elastic Scaling
                                                                                                        2. Data Flexibility
                                                                                                          1. Schema Evolution Support
                                                                                                            1. Multiple Data Format Support
                                                                                                              1. Experimental Data Storage
                                                                                                              2. Advanced Analytics Enablement
                                                                                                                1. Data Science Workloads
                                                                                                                  1. Machine Learning Integration
                                                                                                                    1. Exploratory Analysis
                                                                                                                    2. Cloud-Native Integration
                                                                                                                      1. Serverless Computing
                                                                                                                        1. Managed Services
                                                                                                                          1. Auto-Scaling Capabilities
                                                                                                                        2. Challenges and Limitations
                                                                                                                          1. Data Swamp Risks
                                                                                                                            1. Unorganized Data Accumulation
                                                                                                                              1. Metadata Degradation
                                                                                                                                1. Discovery Difficulties
                                                                                                                                2. Data Quality Issues
                                                                                                                                  1. Lack of Validation
                                                                                                                                    1. Inconsistent Formats
                                                                                                                                      1. Data Drift Problems
                                                                                                                                      2. Performance Limitations
                                                                                                                                        1. Query Performance Variability
                                                                                                                                          1. BI Tool Integration Challenges
                                                                                                                                            1. SQL Analytics Limitations
                                                                                                                                            2. Governance Complexities
                                                                                                                                              1. Access Control Challenges
                                                                                                                                                1. Data Privacy Management
                                                                                                                                                  1. Compliance Difficulties
                                                                                                                                                    1. Security Implementation