Implementing ____ in Hadoop is a best practice for optimizing data storage and retrieval.
- Data Compression
- Data Encryption
- Data Indexing
- Data Serialization
Implementing Data Compression in Hadoop is a best practice for optimizing data storage and retrieval. Compression reduces the amount of storage space required for data and improves the efficiency of data transfer across the network, resulting in overall performance enhancement.
Loading...
Related Quiz
- For a company dealing with sensitive information, which Hadoop component should be prioritized for enhanced security during cluster setup?
- In Spark, ____ persistence allows for storing the frequently accessed data in memory.
- In the Hadoop ecosystem, which tool is best known for data ingestion from various sources into HDFS?
- Which component of Apache Pig translates scripts into MapReduce jobs?
- The integration of Scala with Hadoop is often facilitated through the ____ framework for distributed computing.