Which file format is commonly used in Hadoop for efficient large-scale data processing?
- Avro
- CSV
- JSON
- XML
Avro is a commonly used file format in Hadoop for efficient large-scale data processing. Avro's compact binary format and schema evolution capabilities make it suitable for storing and exchanging data between Hadoop components. It is particularly useful in scenarios where flexibility and efficiency in handling complex data structures are essential.
Loading...
Related Quiz
- ____ is a key feature in Avro that facilitates data serialization and deserialization in a distributed environment.
- When setting up a new Hadoop cluster in an enterprise, what is a key consideration for integrating Kerberos?
- ____ balancing across DataNodes is essential to maintain optimal performance in a Hadoop cluster.
- The ____ function in Spark is critical for performing wide transformations like groupBy.
- To optimize data processing, ____ partitioning in Hadoop can significantly improve the performance of MapReduce jobs.