Which Big Data technology is specifically designed for processing large volumes of structured and semi-structured data?
- Apache Spark
- Hadoop MapReduce
- Apache Flink
- Apache Hive
Apache Hive is designed for processing large volumes of structured and semi-structured data. It provides a SQL-like interface for querying and managing data in Hadoop. Other options, such as Spark, MapReduce, and Flink, have different use cases and characteristics.
Loading...
Related Quiz
- In the healthcare sector, which data mining method would be optimal for predicting patient readmission risks?
- How does the 'merge' command in Git differ from 'rebase'?
- What type of data structure is an array?
- In a scenario where data security is paramount, which features of BI tools should be prioritized and why?
- What is the purpose of the GROUP BY clause in an SQL query?