Tuesday, 11 October 2016

Features That Make Splunk the Google of Unstructured Data

  1. Log processing is one of the core competencies of Splunk. It stores all your logs and provides very fast search capabilities roughly in the same way Google does for the internet device log files.
  2. The Search Processing Language (SPL) for Splunk is an extremely powerful tool for extracting meaning out of vast amounts of data and performing statistical operations on what is relevant in a specific context.
  3. Splunk Training in Jaipur indexes any kind of machine data that can be represented as text and there is no need to define tables and fields before you can store data. Splunk does not have a fixed schema. In fact, it performs field extraction at search time. This aspect allows for great flexibility.
  4. Splunk does not reduce the granularity of older events, compressing many data points into one because of capacity limits. It can seamlessly index hundreds of terabytes per day and keep practically unlimited amounts of data.
  5. Splunk dashboards allow you to monitor all of your systems at once, so when a problem occurs you can start looking for a solution even before the problem starts bothering the system, or even better, the Splunk dashboard allows to clearly look for signs of a possibly arising problem.