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Course Outline
Introduction to Apache Iceberg for Government
- Overview of Apache Iceberg for government data management
- Importance and use cases in modern data architecture for government operations
- Key features and benefits for enhancing data governance and accountability
Core Concepts for Government Data Management
- Iceberg table format and architecture for efficient data storage and retrieval
- Comparison with other table formats to inform decision-making for government agencies
- Partitioning and schema evolution to support flexible and scalable data management
- Time travel and data versioning to ensure accurate historical data tracking
Setting Up Apache Iceberg for Government Use
- Installation and configuration of Iceberg in government IT environments
- Integrating Iceberg with various data processing engines used by government agencies
- Setting up an Iceberg environment on a local machine for testing and development
Basic Operations for Government Data Management
- Creating and managing Iceberg tables to support government data initiatives
- Writing to and reading from Iceberg tables to ensure efficient data access
- Performing basic CRUD operations to maintain accurate and up-to-date records
Data Migration and Integration for Government Systems
- Migrating data from Hive and other systems to Iceberg for improved performance and reliability
- Integration with BI tools to support data-driven decision-making in government agencies
- Migrating a sample dataset to Iceberg to demonstrate the process for government use
Optimizing Performance for Government Data Operations
- Performance tuning techniques to enhance data processing efficiency in government systems
- Optimizing queries and data scans to improve response times and resource utilization
- Performance optimization strategies specific to Iceberg for government applications
Overview of Advanced Features for Government Data Management
- Partition evolution and hidden partitioning to support complex data structures in government datasets
- Table evolution and schema changes to accommodate changing data requirements
- Time travel and rollback features to ensure data integrity and compliance with regulatory standards
- Implementing advanced features in Iceberg for enhanced government data management
Summary and Next Steps for Government Agencies
Requirements
- Familiarity with concepts such as tables, schemas, partitions, and data ingestion for government systems.
- Basic knowledge of SQL.
Audience
- Data engineers
- Data architects
- Data analysts
- Software developers
14 Hours
Testimonials (1)
Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already
