Data Engineering

  1. Batch Data Processing Systems
    1. ETL Process Design
      1. Data Extraction Methods
        1. Full Extraction
          1. Incremental Extraction
            1. Change Data Capture
              1. API-Based Extraction
              2. Data Transformation Techniques
                1. Data Cleansing Operations
                  1. Data Type Conversions
                    1. Business Rule Implementation
                      1. Data Enrichment Processes
                        1. Aggregation and Summarization
                        2. Data Loading Strategies
                          1. Full Load Operations
                            1. Incremental Load Patterns
                              1. Upsert Operations
                                1. Bulk Loading Techniques
                              2. ELT Process Implementation
                                1. Extract and Load First Approach
                                  1. Raw Data Preservation
                                    1. Storage-First Strategy
                                    2. In-Database Transformations
                                      1. SQL-Based Transformations
                                        1. Stored Procedure Usage
                                          1. Database Engine Optimization
                                          2. ELT vs. ETL Trade-offs
                                            1. Processing Location Decisions
                                              1. Resource Utilization Patterns
                                                1. Scalability Considerations
                                              2. Apache Hadoop Ecosystem
                                                1. Hadoop Distributed File System
                                                  1. HDFS Architecture Components
                                                    1. NameNode and DataNode Roles
                                                      1. Block Storage and Replication
                                                        1. Fault Tolerance Mechanisms
                                                          1. File System Operations
                                                          2. MapReduce Programming Model
                                                            1. Map Phase Processing
                                                              1. Shuffle and Sort Operations
                                                                1. Reduce Phase Aggregation
                                                                  1. Job Execution Workflow
                                                                    1. Performance Tuning Strategies
                                                                    2. Hadoop Ecosystem Tools
                                                                      1. Apache Hive for SQL Queries
                                                                        1. Apache Pig for Data Flow
                                                                          1. Apache HBase for NoSQL Storage
                                                                            1. Apache Sqoop for Data Transfer
                                                                          2. Apache Spark Framework
                                                                            1. Core Spark Concepts
                                                                              1. Resilient Distributed Datasets
                                                                                1. DataFrame API
                                                                                  1. Dataset API
                                                                                    1. Spark Context and Sessions
                                                                                    2. Spark Architecture
                                                                                      1. Driver Program Role
                                                                                        1. Executor Process Management
                                                                                          1. Cluster Manager Integration
                                                                                            1. Task Distribution and Execution
                                                                                            2. Spark SQL Engine
                                                                                              1. Structured Data Processing
                                                                                                1. Catalyst Optimizer
                                                                                                  1. Hive Integration
                                                                                                    1. JDBC/ODBC Connectivity
                                                                                                    2. Spark Performance Optimization
                                                                                                      1. Data Partitioning Strategies
                                                                                                        1. Caching and Persistence
                                                                                                          1. Resource Allocation Tuning
                                                                                                            1. Shuffle Operation Optimization
                                                                                                              1. Broadcast Variables Usage