Splunk is a piece of software that analyses and extracts information from big data, including machine data. The CPU powering a webserver, IOT devices, logs from mobile apps, and other machines produce this machine data. The end consumers do not require this data, and therefore has no commercial significance. They are essential to comprehend, monitor, and enhance the equipment's performance. IT professionals, students, and IT infrastructure management specialists who want a firm understanding of key Splunk principles are the target audience for Splunk Training. Users will have achieved intermediate proficiency in Splunk after finishing this tutorial, and you may quickly expand on your understanding to address more difficult issues.
This unstructured, semi-structured, or infrequently structured data can be read by Splunk. Users may search, categorise, and build reports and dashboards using the data after viewing it. With the rise of big data, Splunk is now able to ingest and analyse big data from a variety of sources, some of which may or may not be machine data.
Splunk has thus transformed from a straightforward log analysis tool to a general analytical tool for unstructured machine data and many types of big data.
Product Categories
Splunk is offered in the following three product categories:
Splunk Enterprise − Large IT infrastructure organisations and enterprises that are focused on IT use it. It facilitates data collection and analysis from websites, applications, gadgets, sensors, etc.
**Splunk Cloud − **The platform is hosted in the cloud and has all of the same capabilities as the enterprise edition. It is available from Splunk directly or via the Amazon cloud computing system.
Splunk Light − It enables real-time search, reporting, and alerting on all log data from a single location. Compared to the other two versions, it has fewer features and functionalities.
Splunk Features
We will explain the key aspects of the enterprise edition in this section.
Data Ingestion
A wide range of data formats, including JSON, XML, and unstructured machine data, including online and application logs, can be ingested by Splunk. The unstructured data can be modelled into a suitable data structure by the user.
Data Indexing
Splunk indexes the ingested data to enable quicker searching and querying on various criteria.
Data Searching
With Splunk, searching entails using the indexed data to generate metrics, forecast future trends, and spot patterns in the data.
Using Alerts
When certain criteria are identified in the examined data, Splunk alerts can be used to send emails or RSS feeds.
Dashboards
The search results can be displayed in Splunk Dashboards as charts, reports, pivot tables, etc.
Data Model
The indexed data can be represented into one or more data sets based on specialised domain knowledge. This makes it simpler for end users to navigate and understand business cases without having to master the specifics of Splunk's search processing language.
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