Course Outline
Introduction to Apache Iceberg
- Overview of Apache Iceberg
- Importance and use cases in modern data architecture
- Key features and benefits
Core Concepts
- Iceberg table format and architecture
- Comparison with other table formats
- Partitioning and schema evolution
- Time travel and data versioning
Setting Up Apache Iceberg
- Installation and configuration
- Integrating Iceberg with various data processing engines
- Setting up an Iceberg environment on a local machine
Basic Operations
- Creating and managing Iceberg tables
- Writing to and reading from Iceberg tables
- Basic CRUD operations
Data Migration and Integration
- Migrating data from Hive and other systems to Iceberg
- Integration with BI tools
- Migrating a sample dataset to Iceberg
Optimizing Performance
- Performance tuning techniques
- Optimizing queries and data scans
- Performance optimization in Iceberg
Overview of Advanced Features
- Partition evolution and hidden partitioning
- Table evolution and schema changes
- Time travel and rollback features
- Implementing advanced features in Iceberg
Summary and Next Steps
Requirements
- Familiarity with concepts such as tables, schemas, partitions, and data ingestion
- Basic knowledge of SQL
Audience
- Data engineers
- Data architects
- Data analysts
- Software developers
Delivery Options
Private Group Training
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- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
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Testimonials (3)
Trainer had good grasp of concepts
Josheel - Verizon Connect
Course - Amazon Redshift
analytical functions
khusboo dassani - Tech Northwest Skillnet
Course - SQL Advanced
how the trainor shows his knowledge in the subject he's teachign