Purpose In this lab activity, you will be introduced to the concept of enriching data with SPLUNK. This three-hour course is for
knowledge managers who want to use lookups to enrich their search environment. Topics will introduce lookup types and cover how to upload and define lookups, create automatic lookups, and use advanced lookup options. Additionally, students will learn how to verify lookup contents in search and review lookup best practices. Task This lab includes a video module, a lab module and a quiz. Begin by watching the following video modules from the SPLUNK Fundamentals 1 and 3 mappings: Videos: 1. Introduction 2. What is a Lookup? 3. Search Time Operations Sequence 4. Introduction to Lookups 5. Creating Lookups 6. Automatic Lookups 7. Geospatial Lookups 8. External Lookups 9. KV Store Lookups (Key Value pairs) 10. Best Practices for Lookups
Preparing to know data that is using Splunk to known the required fields in the data.
One need to think of this as if one is seeing pieces in a puzzle, then one can notice their shapes.
The next step is that one need to categorize data as a kind of a preamble before the act of aggregation and reporting.
<h3>What is Enriching Your Data?</h3>
Data enrichment is known to be a kind of an augmentation and it is seen as the act or the process of making better an existing information by the use of a supplementing missing or any kind of incomplete data.
<h3> What is a Lookup?</h3>
Data Lookup is known to be the method used to make plenty any information based on rules.
Hence, A person can enrich data in Splunk by
Preparing to know data that is using Splunk to known the required fields in the data.
One need to think of this as if one is seeing pieces in a puzzle, then one can notice their shapes.
The next step is that one need to categorize data as a kind of a preamble before the act of aggregation and reporting.
