Apache Doris - Separation of Storage and Compute Architecture

Übersicht

Lehrplan

• Introduction to Apache Doris
Overview of OLAP Databases
Introduction to Apache Doris Architecture
Key Features of Apache Doris
• Understanding Separation of Storage and Compute
Definition and Importance
Benefits for OLAP Performance
Comparison with Traditional Architectures
• Apache Doris Design Principles
Modular Architecture
Scalability and Flexibility
High Availability Strategies
• Technical Specifics of Storage Layer
Storage Formats and File Systems
Data Partitioning and Distribution
Data Compression and Replication
• Technical Specifics of Compute Layer
Query Processing and Optimization
Resource Allocation and Management
Load Balancing and Failover Handling
• Data Ingestion and Integration
ETL Processes for Apache Doris
Real-Time Data Ingestion Techniques
Integration with Big Data Ecosystems
• Performance Optimization Techniques
Indexing and Caching Strategies
Query Tuning and Analysis
Monitoring and Maintenance Tools
• Use Cases and Real-World Applications
Industry Applications of Apache Doris
Case Studies on Performance Enhancements
Best Practices for Deployment
• Hands-On Labs and Exercises
Setting Up an Apache Doris Cluster
Implementing Storage and Compute Separation
Performance Testing and Benchmarking
• Future Directions and Trends
Innovations in Storage and Compute Architectures
Apache Doris Roadmap and Community Contributions
Trends in OLAP Database Technologies
• Course Summary and Review
Recap of Key Concepts and Techniques
Discussion and Q&A
Resources for Further Learning

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Fachgebiete

Business