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12/05/2022 9:01 am
You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour.
File sizes range from 4.KB to 5 GB.
You need to ensure that the files stored in the container are optimized for batch processing.
What should you do?
- A . Compress the files.
- B . Merge the files.
- C . Convert the files to JSON
- D . Convert the files to Avro.
Suggested Answer: D
Explanation:
Avro supports batch and is very relevant for streaming.
Note: Avro is framework developed within Apache’s Hadoop project. It is a row-based storage format which is widely used as a serialization process. AVRO stores its schema in JSON format making it easy to read and interpret by any program. The data itself is stored in binary format by doing it compact and efficient.
Reference: https://www.adaltas.com/en/2020/07/23/benchmark-study-of-different-file-format/
Explanation:
Avro supports batch and is very relevant for streaming.
Note: Avro is framework developed within Apache’s Hadoop project. It is a row-based storage format which is widely used as a serialization process. AVRO stores its schema in JSON format making it easy to read and interpret by any program. The data itself is stored in binary format by doing it compact and efficient.
Reference: https://www.adaltas.com/en/2020/07/23/benchmark-study-of-different-file-format/