In Splunk Knowledge Manager 102, you will gain in-depth knowledge of field extractions, lookups, data models, and search optimization techniques. This course equips you with the skills to unleash the full potential of Splunk for extracting and enriching data, designing data models, and optimizing search performance for efficient data analysis.
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Splunk Knowledge Manager 102 modules cover a wide range of topics including field extractions, lookups, data models, and search optimization. Gain expertise in regex and delimited field extractions, creating and utilizing lookups, designing data models, and accelerating search performance using advanced commands.
This module covers the process of creating field extractions, including regex and delimited field extractions, and best practices for efficient data extraction. Gain the skills to extract multiple fields and improve search performance.
This module delves into enriching data with various types of lookups, including file-based, automatic, geospatial, external, and KV store lookups. Learn the best practices for utilizing lookups and their impact on search-time operations.
Explore data models, including adding event, search, and transaction datasets, designing data models, and utilizing the Pivot editor for data visualization. Understand the acceleration of data models for improved analysis.
Learn about search optimization, including the Splunk Search Scheduler, report and data model acceleration, and the usage of advanced search commands like the tstats command. Gain insights into improving search performance through efficient base searches.
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