In Hadoop cluster capacity planning, ____ is crucial for optimizing storage capacity.
- Data Compression
- Data Encryption
- Data Partitioning
- Data Replication
Data Compression is crucial for optimizing storage capacity in Hadoop cluster capacity planning. It reduces the amount of space required to store data, enabling more efficient use of storage resources and improving overall cluster performance.
Loading...
Related Quiz
- For large-scale Hadoop deployments, ____ strategies are essential for efficient and rapid disaster recovery.
- In Crunch, a ____ is used to represent a distributed dataset in Hadoop.
- In the Hadoop ecosystem, ____ is used to enhance batch processing efficiency through resource optimization.
- In a Hadoop cluster, the ____ tool is used for cluster resource management and job scheduling.
- Apache ____ is a scripting language in Hadoop used for complex data transformations.