In Hadoop, InputFormats are responsible for ____.
- Data Compression
- Data Partitioning
- Data Serialization
- Data Shuffling
In Hadoop, InputFormats are responsible for data serialization. InputFormats define how Hadoop should read and parse the input data from the underlying storage system. They specify how the data is to be interpreted, deserialized, and presented to the MapReduce job for further processing. Properly configured InputFormats are crucial for ensuring accurate data processing in Hadoop.
Loading...
Related Quiz
- How can counters be used in Hadoop for debugging MapReduce jobs?
- For a rapidly expanding Hadoop environment, what is a key consideration in capacity planning?
- In a scenario where data processing efficiency is paramount, which Hadoop programming paradigm would be most effective?
- ____ is a key feature in Oozie that allows integration with systems outside of Hadoop for triggering workflows.
- For a real-time analytics application, how would you configure Flume to ensure minimal latency in data delivery?