Conclusion
Data partitioning enables building internet-scale distributed systems by improving manageability, performance and availability. Combining various partitioning schemes and managing partitions effectively is key to scalable system design.
Back to course sections
- Database Concepts and Applications
- Theories and Examples of Relational Databases Introduction to Database Types Data Formats: CSV, JSON, XML, Protobuf, Parquet What is Database Sharding? Scaling DBs Database Isolation Levels Data Modeling for Database Design Efficient Data Storage: Compression and Deduplication Strategies Data Modeling Cheat Sheet A Beginner's Reference to SQL vs. NoSQL Designing a Storage Layer (Ephemeral or Persistent) Understanding the CAP Theorem PostgreSQL Overview and Connection Tutorial Data Warehouse vs Data Lake Data Partitioning For Systems Design Redis Intro and Use Cases Cheat Sheet When to Use Redis and How the Message Broker Works Introduction to Time-Series Databases
Mark As Completed Discussion