Of the preceding listed tasks, popular opinion from the field (of data scientists) states that up to 60% of the time is spent performing the cleaning and transforming of data, while almost 20% (of the time) is spent on data collection.
The Splunk MLT was designed to extend the Splunk platform functions and provide a guided modeling environment for developers and data scientists.
To this end, Splunk literature indicates the following advantages for using Splunk and the Splunk MLT for machine learning projects:
- Collect data: Inherently, Splunk is an excellent data collector and indexer and can make collecting data—even big or unformatted data—much easier. Once setup, Splunk will automatically collect the latest data in real ...
