By completing Search Expert 101, 102 & 103, you will be able to write efficient searches, perform correlations, create visualizations, and leverage subsearches and lookups. This course will also show you how to get started using your machine data to provide actionable reports and dashboards for your organization.
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Splunk Search Expert Specialization
Become a Search Expert and write efficient searches, perform correlations, create visualizations, and leverage sub-searches and lookups.
Instructor: Splunk Instructor
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Specialization - 3 course series
Splunk Search Expert 101
What you'll learn
Investigate data using Splunk Search Processing Language (SPL) and create searches, reports, dashboards, and visualizations.
Utilize temporary and persistent fields in searches and enrich data with fields from other data sources.
Create, managed, and schedule reports and alerts to automate processes and respond to incidents as they occur.
Visualize data to create charts, graphs, and maps and use visual formatting commands to curate appearance.
Skills you'll gain
Splunk Search Expert 102
What you'll learn
Filter data using time modifiers and time commands and use formatting functions to accommodate various time formats.
Calculate statistics using transforming commands and mathematical and statistical eval functions.
Compare, manipulate, and normalize data using several commands including the all-powerful eval command and an array of functions.
Enrich results with lookups and subsearches to correlate and filter data from multiple sources.
Skills you'll gain
Splunk Search Expert 103
What you'll learn
Use specific commands to calculate co-occurrence between fields and analyze data from multiple datasets.
Understand how components of a search are broken down and processed across the Splunk data pipeline and how to troubleshoot searches.
Manipulate, evaluate, and analyze multivalue data and create multivalue fields in search with multivalue eval commands and functions.
Improve search performance by understanding search best practices, accelerating repots and data models to optimize frequently accessed data.
Skills you'll gain
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.