In the context of Hadoop, Point-in-Time recovery is crucial for ____.
- Data Consistency
- Data Integrity
- Job Monitoring
- System Restore
Point-in-Time recovery in Hadoop is crucial for ensuring Data Consistency. It allows users to recover data to a specific point in time, maintaining consistency and integrity in situations such as accidental data deletion or corruption.
Loading...
Related Quiz
- The integration of Hadoop with Kerberos provides ____ to secure sensitive data in transit.
- ____ recovery techniques in Hadoop allow for the restoration of data to a specific point in time.
- In complex data pipelines, how does Oozie's bundling feature enhance workflow management?
- To enhance cluster performance, ____ is a technique used to optimize the data read/write operations in HDFS.
- Which Hadoop ecosystem tool is primarily used for building data pipelines involving SQL-like queries?