NSL-KDD in AVRO Format
- Citation Author(s):
-
Jalindar Karande
(Research Scholar, Pune Institute of Computer Technology, Savitribai Phule Pune University, Pune)
Sarang Joshi (Professor, Pune Institute of Computer Technology, Savitribai Phule Pune University, Pune) - Submitted by:
- Jalindar Karande
- Last updated:
Abstract
NSL-KDD is a benchmark dataset in security available in a comma-separated text format. Many big data analytics tools like Google BigQuery, Hadoop, Spark etc. prefer dataset in AVRO format for its advantages of lightweight and fast data serialisation and deserialization. This, in turn, results in delivering very good data ingestion performance. We have converted comma-separated values into AVRO format as a part of our research work. This dataset in AVRO format will be very useful for researchers working with cloud-based big data analytics tools.
