Enriching Data with Lookups

This three-hour module 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.

Days : 1
Price :

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Description

Who should attend

Search Experts and Knowledge Managers

Certifications

This course is part of the following Certifications:

Prerequisites

To be successful, students should have a solid understanding of the following:

  • How Splunk works
  • Knowledge objects

Course Objectives

  • What is a Lookup?
  • Creating Lookups
  • Geospatial Lookups
  • External Lookups
  • KV Store Lookups
  • Best Practices for Lookups

Outline: Enriching Data with Lookups (EDL)

Topic 1 – What is a Lookup?

  • Define a lookup and the default lookup types
  • Lookups and the search-time operation sequence

Topic 2 – Creating Lookups

  • Use file-based lookups at search time
  • Create (upload, define, configure) a lookup
  • Use an automatic lookup at search

Topic 3 – Geospatial Lookups

  • Understand geospatial lookups and KMZ/KML files
  • Add and define a geospatial lookup

Topic 4 – External Lookups

  • Understand external lookups
  • Explore the default lookup, external_lookup.py
  • Configure external lookups

Topic 5 – KV Store Lookups

  • Introduce KV Store lookups
  • Configure KV Store lookups
  • Compare file-based CSV lookups to KV Store lookups

Topic 6 – Best Practices for Lookups

  • Various best practices for using lookups