How does the Hadoop Streaming API handle different data formats during the MapReduce process?
- Compression
- Formatting
- Parsing
- Serialization
The Hadoop Streaming API handles different data formats through serialization. Serialization is the process of converting complex data structures into a format that can be easily stored, transmitted, or reconstructed. It allows Hadoop to work with various data types and ensures compatibility during the MapReduce process.
Loading...
Related Quiz
- In the Hadoop ecosystem, ____ is used to enhance batch processing efficiency through resource optimization.
- For a data analytics project requiring integration with AI frameworks, how does Spark support this requirement?
- How does Apache Sqoop achieve efficient data transfer between Hadoop and relational databases?
- ____ tools are commonly used for visualizing Hadoop cluster metrics and logs.
- What is the impact of speculative execution settings on the performance of Hadoop's MapReduce jobs?