Data indexing phases
As data moves from the source machine to the Splunk indexer, it primarily goes through three phases. Note that this is a simplified version of the system for learning purposes; there are in reality more queues involved as data moves through the processing pipelines.
Splunk indexing is the process of ingesting and storing data in the Splunk platform for later analysis and searching.
As a data administrator, it’s crucial to understand the different phases involved in Splunk indexing. The core competency of Splunk lies in its ability to search and analyze large volumes of data in real time, providing valuable insights. The indexing phase involves ingesting and storing data in the Splunk platform while the parsing phase involves the extraction of relevant information using pre-built or custom-defined rules. During the indexing process in Splunk, there are several significant activities that take place. These include data manipulation, the creation of indexed...
