To further extend the power of Splunk, Hunk was developed to give a larger number of users the ability to access data stored within the Hadoop and NoSQL stores (and other similar ones) without needing custom development, costly data modeling, or lengthy batch iterations. For example, Hadoop can consume high volumes of data from many sources, refining the data into readable logs, which can then be exposed to Splunk users quickly and efficiently using Hunk.
Some interesting Hunk features include the following:
- The ability to create a Splunk virtual index: This enables the seamless use of the Splunk Search Processing Language (SPL) for interactive exploration, analysis, and visualization of data as if it was stored in a Splunk index.
- You can point and go: Like accessing data indexed in Splunk, there is no need to understand the Hadoop data upfront; you can just point Hunk at the Hadoop source and start exploring.
- Interactivity: You can use Hunk for analysis across terabytes, and even petabytes...