Splunk Knowledge Manager 102
Master field extraction, data modeling, and search optimization in Splunk. Learn regex, lookups, and performance tuning techniques.
Master field extraction, data modeling, and search optimization in Splunk. Learn regex, lookups, and performance tuning techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Splunk Knowledge Manager Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.9
(12 ratings)
Instructors:
English
Powered by
What you'll learn
Learn different types of regex and delimited field extractions
Create and utilize file-based lookups effectively
Design and implement data models with various datasets
Optimize search performance using acceleration techniques
Master the Pivot editor for data visualization
Implement efficient search strategies using tstats command
Skills you'll gain
This course includes:
2 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
In this comprehensive course, students learn advanced Splunk knowledge management skills focusing on four key areas. The curriculum covers field extraction techniques, including regex and delimited field extractions, data enrichment through lookups, data model creation and acceleration, and search optimization strategies. Through hands-on modules, participants master essential skills for efficient data management and analysis in Splunk, learning to create and manage lookups, design effective data models, and optimize search performance using advanced techniques like the tstats command.
Field Extractions
Module 1 · 32 Minutes to complete
Enriching with Lookups
Module 2 · 1 Hours to complete
Data Models
Module 3 · 52 Minutes to complete
Search Optimization
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Expert in Data Analytics and Enterprise Software Education
Splunk Instructor represents the official educational team at Splunk Inc., delivering comprehensive training in Splunk's data platform and analytics tools. Their course portfolio includes six core certification tracks: Knowledge Manager (101-103) and Search Expert (101-103) series, designed to build expertise in Splunk's enterprise software solutions. The curriculum focuses on machine data analysis, operational intelligence, and Splunk Search Processing Language (SPL). Their courses have attracted over 1,700 learners globally, maintaining a high satisfaction rate with comprehensive coverage of topics from basic data analysis to advanced knowledge management. The instructional team combines theoretical knowledge with hands-on practical exercises, helping students master essential skills in data visualization, report creation, dashboard development, and advanced search techniques. Their teaching methodology emphasizes real-world applications, preparing students for industry-recognized Splunk certifications including Core Certified User, Power User, and Advanced Power User certifications.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.