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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-using-and-learning-splunk/
课程评论：没有评论
**课程名称：Splunk 使用与学习入门** **课程概述：** 本课程旨在介绍Splunk在当今大数据技术领域的定位和作用。Splunk是一个独特的大数据开发平台，它能以原始的非结构化格式保留日志数据，从而实现快速搜索、告警和调查。Splunk能够轻松处理PB级甚至更多数据，实时索引和搜索来自无数应用程序的数据，并支持无限数量的用户定义用例，几乎满足您对数据的所有查询需求，能够跨所有接入Splunk的应用程序进行关联分析。 本课程的目标是让对计算机和Splunk一无所知的人也能对Splunk产生兴趣，并引导您了解Splunk的职业发展路径及其带来的可能性。通过本课程的学习，您将能够以基础用户的身份熟练使用Splunk。 **课程内容：** 课程将从在Amazon AWS上创建实例并安装Splunk开始，以便您能够同步学习。随后，课程将深入讲解Splunk的应用程序结构和流程、图形用户界面（GUI）、搜索功能、告警机制、仪表盘以及Pivot/数据模型。我们将对这些关键领域进行详尽的讲解，帮助您理解核心概念，并能进行基础操作。此外，课程还会提供重要的实用技巧，例如避免使用不必要的实时搜索、优化搜索效率等，以助您避免常见的错误。 **学习目标：** * 了解Splunk在大数据领域的地位和优势。 * 掌握Splunk的基础安装和配置。 * 熟悉Splunk的应用程序结构、流程和GUI界面。 * 学习如何使用Splunk进行数据搜索、筛选和分析。 * 掌握Splunk的告警设置和管理。 * 了解如何创建和使用Splunk仪表盘。 * 初步掌握Pivot和数据模型的使用。 * 学习优化Splunk搜索效率的技巧。 * 了解Splunk的职业发展方向。
We begin with covering the big tech landscape and where Splunk fits within that picture. Splunk is the only development platform for true big data that preserves logs in their original unstructured format for fast search, alerting and investigating. Splunk easily handles indexing and searching pedabytes of data and more from countless applications in real-time with an infinite number of user-defined use cases; anything that you can imagine wanting to know about your data can be correlated and analyzed across every application that you are logging into Splunk.This course is designed to interest someone with no prior understanding of either computers or Splunk into pursuing certification in Splunk. We show you how to map your career progression through Splunk and what it enables for you.The goal of this course is to teach Splunk well enough for you to use Splunk as a basic user. We begin with creating an Amazon AWS instance and install Splunk onto it so that you can follow along with the course. We then cover the Splunk application structure and processes, the GUI interface, searching, alerting, dashboards and pivots/datamodels. We go into enough detail for you to understand key points in all of these areas enough to start using them on a basic level. We even add important tips to help you to avoid making critical mistakes like using real-time searches when they aren't needed and making searches that aren't fast and efficient.
