How To Playbook

• How To Get Setup for Lakehouse analytics
• Getting setup for Lakehouse analytics
  • Goals
  • Requirements
  • Create a Lakekeeper catalog
  • Identify your bucket URL
  • Sanity checks
    • Check public bucket access (optional)
  • Next steps
  • Takeaways
• How-To Read/Write Without Catalog
  • Prerequisites
    • Technical Requirements
    • Knowledge Requirements
    • Environment Setup
  • Setup: Configure Analytics Infrastructure
    • Step 1: Initialize PGAA Extension and Performance Settings
    • Step 2: Configure Storage Locations
    • Step 3: Configure Analytics Write Location
    • Step 4: Verify Seafowl Query Engine Activation
  • Read-Only Analytics: Access Existing Data
    • Step 5: Analyze Storage Characteristics
  • Transactional Table Analytics Offload
    • Step 9: Create and Populate Transactional Table
    • Step 10: Configure Analytics Offload
    • Step 11: Create Analytics Reader Interface
    • Step 12: Convert Transactional Table to Analytics-Only
  • Advanced Table Management Operations
    • Step 13: Restore Table from Analytics to Transactional Storage
    • Step 14: Handle Data Updates with Analytics Synchronization
    • Step 15: Implement Partial Table Offload
  • AutoPartition with Analytics Offload
    • Step 16: Configure Automated Partitioning
    • Step 17: Load Test Data and Analyze Baseline Storage
    • Step 18: Baseline Storage Analysis
    • Step 19: Configure Automated Analytics Offload
    • Step 20: Monitor Automated Offload Operations
    • Step 21: Validate Storage Tier Distribution
    • Step 22: Post-Migration Storage Analysis and ROI Calculation
  • Troubleshooting and Validation
    • Common Issues and Resolution
    • Performance Monitoring
• How-To Integrate with Third-Party Iceberg Catalogs
  • Overview
  • Context and Goals
    • What This Guide Covers
    • Supported Catalog Types
  • Prerequisites
    • Required Components
    • For Snowflake Polaris Integration
    • For AWS S3 Tables Integration
  • Practical Applications
  • Configuration Instructions
    • Setting Up Snowflake Polaris Integration
    • Step 1: Obtain OAuth Token
    • Step 2: Configure PGAA Catalog
    • Step 3: Configure Write Permissions
    • Setting Up AWS S3 Tables Integration
  • Verification and Testing
    • Reading from Catalog
    • Writing to Catalog
    • PGD Offloads
    • External Tool Compatibility
  • Known Limitations
  • Troubleshooting
    • Common Issues
  • Next Steps
• How-To Lakehouse Read With/Without A Catalog
  • Overview
  • Prerequisites
    • System Requirements
    • Access Requirements
  • Configuration Approaches
  • AWS S3 Tables Integration
    • Python Client Configuration
    • PGAA Native Configuration
  • Direct Delta Lake Access
    • Storage Location Setup
    • Creating Delta Tables
    • Working with Large Datasets
  • Direct Iceberg Access
    • Configuring Iceberg Storage
  • Catalog Attachment
    • Connecting to Existing Catalogs
    • Verifying Catalog Access
  • Query Validation
    • Sample Analytical Query
  • Best Practices
    • Storage Configuration
    • Catalog Management
    • Performance Optimization
  • Troubleshooting
    • Common Issues
  • Next Steps
• Configure Analytics Storage and Data Tiering with PGAA and PGD
  • Table of Contents
    • Part 1: Foundation Setup
    • Part 2: Read-Only Analytics: Access Existing Data
    • Part 3: Transactional Table Analytics Offload
    • Part 4: Advanced Table Management Operations
    • Part 5: AutoPartition with Analytics Offload
    • Part 6: Catalog-Based Operations
  • Part 7: External Tool Integration
  • Steps Overview
  • Prerequisites
    • Technical Requirements
    • Knowledge Requirements
    • Environment Setup
  • Setup: Configure Analytics Infrastructure
    • Step 1: Initialize PGAA Extension and Performance Settings
    • Step 2: Configure Storage Locations
    • Step 3: Configure Analytics Write Location
    • Step 4: Verify Seafowl Query Engine Activation
  • Read-Only Analytics: Access Existing Data
    • Step 5: Delta Lake Table Access
    • Step 6: Execute Analytics Queries Across Delta Lake Data
    • Step 7: Iceberg Table Access
    • Step 8: Analyze Storage Characteristics
  • Transactional Table Analytics Offload
    • Step 9: Create and Populate Transactional Table
    • Step 10: Configure Analytics Offload
    • Step 11: Create Analytics Reader Interface
    • Step 12: Convert Transactional Table to Analytics-Only
  • Advanced Table Management Operations
    • Step 13: Restore Table from Analytics to Transactional Storage
    • Step 14: Handle Data Updates with Analytics Synchronization
    • Step 15: Implement Partial Table Offload
  • AutoPartition with Analytics Offload
    • Step 16: Configure Automated Partitioning
    • Step 17: Load Test Data and Analyze Baseline Storage
    • Step 18: Baseline Storage Analysis
    • Step 19: Configure Automated Analytics Offload
    • Step 20: Monitor Automated Offload Operations
    • Step 21: Validate Storage Tier Distribution
    • Step 22: Post-Migration Storage Analysis and ROI Calculation
  • Catalog-Based Operations
    • Step 23: Environment Cleanup and Catalog Setup
    • Step 24: External Data Loading and Catalog Configuration
    • Step 25: Distributed Catalog Operations
    • Step 26: Dynamic Catalog Discovery and Management
    • Step 27: Catalog-Managed Analytics Operations
    • Step 28: Cross-Node Data Access Validation
    • Step 30: Unified Cold Storage View
  • Troubleshooting and Validation
    • Performance Monitoring and Optimization
    • Common Issues and Resolution
    • Security and Operational Considerations