________ can be used for batch processing of data and aggregation operations.(1 Point)OozieHiveNone of the aboveMapReduce

Break Down the Problem

1. Identify the tools available for batch processing and data aggregation in big data contexts.
2. Analyze each provided option for its suitability for these operations.

Relevant Concepts

1. Oozie - a workflow scheduler that is used to manage Hadoop jobs.
2. Hive - a data warehouse software that facilitates querying and managing large datasets residing in distributed storage.
3. MapReduce - a programming model for processing large data sets and performing aggregation operations on them.

Analysis and Detail

1. Oozie: Primarily used for job scheduling rather than direct data processing or aggregation.
2. Hive: Designed for data warehousing and capable of handling both batch processing and aggregation operations using SQL-like queries.
3. MapReduce: Effectively designed for batch processing as it splits tasks into smaller sub-tasks, allowing for massive data processing and aggregation.

Verify and Summarize

Among the options:

• Since Oozie is used for job scheduling and not direct data processing, it doesn’t fit well for the question.
• Hive indeed supports batch processing and aggregation.
• MapReduce also allows batch processing and aggregation but is more programming-oriented than Hive.

Final Answer

Hive can be used for batch processing of data and aggregation operations.