Hadoop Distributed File System
The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications. Besides storing such huge data, the files are stored across multiple machines in redundant fashion to rescue the system from possible data losses in case of failure. Unlike other distributed systems, HDFS is highly fault-tolerant and designed using low-cost hardware.
Key components of HDFS are as follows:
- NameNode
- DataNode
- Secondary Name Node
- Standby Name Node
File and Database Storage Systems in System Design
In system design, File and Database Storage Systems play a pivotal role in managing and organizing data efficiently. These systems provide the foundation for storing, retrieving, and organizing information in applications, ensuring data integrity and accessibility. File systems handle structured and unstructured data, while database systems offer structured data management with advanced querying capabilities. Effective integration of these storage systems is essential for designing scalable and reliable software applications, making them integral components of modern system architecture.
Important Topics for File and Database Storage Systems in System Design
- File-based storage system
- Database file-based storage system
- Hadoop Distributed File System
- RDBMS
- Difference between RDBMS and File-Based System
- Advantages of RDBMS over File-Based System
- Advantages of File Based over RDBMS System