Udemy

Mastering Splunk: CIM Compliance, Data Models, and Tstats

立即報名
  • 158 名學生
  • 更新於 2/2025
4.7
(23 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
8 小時 28 分鐘
教學語言
英語
授課導師
L.A.M.E Creations
評分
4.7
(23 個評分)
11次瀏覽

課程簡介

Mastering Splunk: CIM Compliance, Data Models, and Tstats

"Master Splunk Data Models: Inventory Building, Tstats Optimization, and Advanced Query Techniques"

Unlock the full potential of Splunk with our comprehensive course, "Splunk Data Models: Building an Inventory with Tstats." This hands-on training is designed to guide Splunk users of all levels through the intricacies of creating a dynamic inventory using Splunk’s powerful data modeling and Tstats commands. Whether you're a Splunk administrator, analyst, or developer, this course provides the essential skills to build, manage, and optimize inventory data in your Splunk environment.

We begin with an Introduction to the course and explore why building a dynamic inventory in Splunk is a game-changer for organizations managing vast datasets. Next, we delve into log exploration techniques and the importance of the Common Information Model (CIM) for structuring your data effectively.

Learn how to map inventory data to Splunk Data Models, enhance your fields with custom field extraction and enrichment, and ensure CIM compliance for seamless integration across datasets. Dive deeper into the creation and utilization of data models, using commands like datamodel and Tstats to generate powerful, efficient, and scalable inventory reports.

By the end of this course, you’ll have the tools and knowledge to simplify inventory tracking, accelerate queries, and streamline operations with Splunk. Elevate your Splunk expertise today with this practical and impactful course!

課程章節

  • 13 個章節
  • 115 堂課
  • 第 1 章 Introduction
  • 第 2 章 Module 1 - Why Build Your Own Dynamic Inventory in Splunk?
  • 第 3 章 Module 2 Exploring Your Logs
  • 第 4 章 Module 3 Common Information Model
  • 第 5 章 Module 4 Mapping Inventory to Splunk Data Models
  • 第 6 章 Module 5 Field Extraction and Enrichment
  • 第 7 章 Module 6 Hands On - Mapping to Datamodels
  • 第 8 章 Module 7 Validating CIM
  • 第 9 章 Module 8 Datamodels, Datamodels, and more Datamodels
  • 第 10 章 Module 9: Inventory Creation
  • 第 11 章 Module 10: Using Datamodel Command to Build Inventory
  • 第 12 章 Module 11: Tstats Command Explained
  • 第 13 章 Module 12: What's Next

課程內容

  • Gain a thorough understanding of Splunk Common Information Model (CIM) and its role in standardizing data across security, network, and application domains., Develop skills in mapping network device logs and data to CIM fields, ensuring consistency and normalization for network inventory tracking., Learn to troubleshoot and refine data models to ensure they meet CIM standards while providing actionable insights into network inventory., Understand how to integrate your network inventory data model with other Splunk apps and dashboards to enhance visibility and security monitoring.


評價

  • C
    Colson Edme
    5.0

    that was a great class and learned a lot.

  • R
    Raushan Kumar
    5.0

    nice

  • G
    Gary Shear
    5.0

    The instructor is very easy to understand and explains concepts clearly. He explains why the course is important and how the skills learned can benefit any Splunk user.

  • J
    Jeremy Wiley
    5.0

    Very useful context

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