Which Hadoop feature ensures data processing continuity in the event of a DataNode failure?
- Checkpointing
- Data Replication
- Redundancy
- Secondary NameNode
Data Replication is a key feature in Hadoop that ensures data processing continuity in the event of a DataNode failure. Hadoop replicates data across multiple nodes, and in case one node fails, the processing can seamlessly continue with a replicated copy from another node.
Loading...
Related Quiz
- In performance optimization, ____ tuning is critical for efficient resource utilization and task scheduling.
- ____ tools are commonly used for visualizing Hadoop cluster metrics and logs.
- For a Hadoop-based ETL process, how would you select the appropriate file format and compression codec for optimized data transfer?
- What is the significance of Apache Sqoop in Hadoop data pipelines, especially when interacting with relational databases?
- ____ in Sqoop specifies the database column to be used for splitting the data during import.