By the end of this course, learners will be able to define Splunk knowledge objects, implement lookups, apply regex and delimiter-based field extractions, execute workflow actions, categorize data with tags and event types, design automated alerts, manage scheduled reports, develop dashboards, create reusable macros, and build accelerated data models with pivot visualizations.
Splunk Knowledge Objects: Analyze & Visualize Data
您将学到什么
Create and manage Splunk knowledge objects and data models.
Implement lookups, regex extractions, and workflow actions.
Build automated alerts, dashboards, and pivot visualizations.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
November 2025
作业
20 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Splunk Analytics & Visualization: From Data to Insights 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有5个模块
This module introduces learners to the concept of Splunk knowledge objects, permissions, and the foundational role of lookups. Participants explore how knowledge objects enrich raw data, manage access, and provide consistent structures for efficient analysis.
涵盖的内容
12个视频4个作业
This module focuses on extracting fields from raw events using regex and delimiters, and enhancing searches with workflow actions. Learners practice parsing unstructured data and applying workflow actions to integrate Splunk with external systems.
涵盖的内容
12个视频4个作业
This module covers workflow search actions, tagging strategies, and event types for better classification of Splunk data. It also introduces alert fundamentals, enabling learners to detect, categorize, and respond to event conditions.
涵盖的内容
12个视频4个作业
This module enables learners to manage scheduled reports, design dashboards, and apply Splunk macros for efficient query reuse. Participants gain practical skills in reporting automation, dashboard visualization, and macro-driven search optimization.
涵盖的内容
12个视频4个作业
This module dives into Splunk data models, hierarchies, transactions, and pivots to create advanced analytical structures. Learners enhance reporting by leveraging accelerated data models and pivot visualizations to uncover actionable insights.
涵盖的内容
16个视频4个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
从 Data Analysis 浏览更多内容
状态：免费试用
状态：免费试用
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，