In Hadoop, ____ is a key indicator of the cluster's ability to process data efficiently.
- Data Locality
- Data Replication
- Fault Tolerance
- Task Parallelism
Data Locality is a key indicator of the cluster's ability to process data efficiently in Hadoop. It refers to the practice of placing computation close to the data, reducing the need for data movement across the network. This enhances performance by maximizing the use of locally stored data.
Loading...
Related Quiz
- How does Crunch optimize the process of creating MapReduce jobs in Hadoop?
- In MapReduce, what does the Reducer do after receiving the sorted output from the Mapper?
- Which aspect of Hadoop development is crucial for managing and handling large datasets effectively?
- What is the primary role of Apache Sqoop in the Hadoop ecosystem?
- When handling time-series data in Hadoop, which combination of file format and compression would optimize performance?