Distributed Data Management
Managing data in distributed systems is very important. It means handling data across many computers while making sure it’s consistent, reliable, and can handle a lot of work. In these systems, data is spread across different computers to make things faster, safer, and able to handle more work. Now, let’s look at the main ways we do this and the technologies we use.
- Sharding: Splitting a big dataset into smaller parts and spreading them across different computers. Each computer handles its own part, which helps speed things up and avoids overloading any single computer.
- Replication: Making copies of data and storing them on different computers. This ensures that even if one computer fails, there are backups available. It also helps data get to where it’s needed faster.
- Consistency Models: These are rules that decide how data changes are seen across different computers.
- Distributed Databases: These are databases spread across many computers. They use techniques like sharding and replication to make sure data is available, consistent, and safe. Examples: Cassandra, MongoDB.
- Distributed File Systems: These are like big digital storage spaces spread across many computers. They break data into chunks and spread them out for faster access and backup. Examples: HDFS, Amazon S3.
Distributed System Principles
Distributed systems are networks of interconnected computers that work together to solve complex problems or perform tasks, using resources and communication protocols to achieve efficiency, scalability, and fault tolerance. From understanding the fundamentals of distributed computing to navigating the challenges of scalability, fault tolerance, and consistency, this article provides a concise overview of key principles essential for building resilient and efficient distributed systems.
Important Topics for Distributed System Principles
- Design Principles for Distributed Systems
- What is Distributed Coordination?
- Fault Tolerance in Distributed Systems
- Distributed Data Management
- Distributed Systems Security
- Examples of Distributed Systems
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