Apache Doris - Separation of Storage and Compute Architecture

Overview

Discover how Apache Doris implements separation of storage and compute architecture, exploring key design principles and technical implementations for enhanced OLAP database performance.

Syllabus

• 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

Subjects

Business