Mastering Splunk 8
Packt Publishing Limited (Verlag)
978-1-83898-748-0 (ISBN)
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Delve into Splunk and extend intelligence capabilities, and leverage machine learning to explore data efficiently
Key Features
Gain the expertise you need to implement the advanced features and capabilities of Splunk 8
Get to grips with advanced Splunk features and create compelling reports and dashboards
Develop and manage advanced Splunk pipelines to integrate intelligence capabilities within your organization
Book DescriptionSplunk is the most widely used engine for working with machine-generated data. This expert-level guide will help you to leverage advanced use cases to drive business growth using operational intelligence and business analytics features.
You'll start with an introduction to the new features in Splunk 8 and cover step-by-step exercises that will help you to understand each feature in depth. Next, you'll explore key tasks such as workload management, performance and alerting, Splunk Enterprise Security, and advanced indexing. You'll also learn how to create categorical charts and run analytical operations on metrics within the Splunk Analytics workspace, before understanding how to deliver insights across your organization even when faced with limited or complex data using advanced data analytics. The book will also show you how to monitor and maintain Splunk environments using advanced dashboards. Later, you'll create custom data visualizations and update dashboards using drag and drop and the UI-based dashboard editor. Finally, you'll add SplunkJS to a web app and use the Splunk Machine Learning Toolkit (MLTK) as an extension to the core Splunk platform using real-world use cases.
By the end of this book, you'll have learned how to use various Splunk features to extend intelligence capabilities and perform machine learning to explore data effectively.
What you will learn
Understand the components of Splunk 8 and how they work
Convert distributed search environments to clusters and configure disaster recovery sites using index clustering
Find out how to integrate Splunk with platforms such as AWS and Microsoft Azure
Use Search Processing Language (SPL) within Splunk macros to create efficient searching
Detect suspicious patterns in data with advanced event correlation searches
Explore machine learning with Splunk MLTK
Review the beta dashboard editor using working examples
Use SplunkJS Stack libraries to enhance web apps
Who this book is forThis Splunk book is for data professionals, data analysts, and Splunk users looking to leverage the advanced features of the Splunk Enterprise platform to derive valuable business insights from machine data. The book is also a useful expert-level guide for individuals from all facets of IT, business, and security. Prior knowledge of Splunk and its features is mandatory to get the most out of this book.
James D. Miller is an IBM Certified Expert, Master Consultant, and application/system architect with over 35 years of applications and system design/development experience across multiple platforms, technologies, and data formats, including big data. His experience includes IBM Planning Analytics, BI, web architecture/design, systems analysis, GUI design/testing, data modeling, and OLAP design/development. He has also worked on client/server, web, and mainframe applications. He has authored numerous books, including Implementing Splunk, Second Edition; Mastering Splunk, Hands-On Machine Learning with IBM Watson, Watson Projects, Statistics for Data Science, and Mastering Predictive Analytics with R, Second Edition.
Table of Contents
Overview of Splunk
Splunk Administration – Workload Management
Performance, Statistics and Alerting in Splunk
Splunk Administration – Security
Advanced Indexing
Splunk Integration with Azure and AWS
Advanced Reporting – Analytics Workspace
Advanced Reporting—Histogram Metric Data Types
Search Performance Considerations
Advanced Reporting Using Macros
Dashboards – Advanced Data Analytics
Dashboards – Correlating Events
Dashboards – Workflow Actions
Dashboards – Monitoring and Operability
Dashboards – Custom Visualizations
Machine Learning Overview
Splunk Next
Dashboards – SplunkJS
| Erscheinungsdatum | 16.01.2021 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 75 x 93 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Office Programme ► Outlook | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-83898-748-7 / 1838987487 |
| ISBN-13 | 978-1-83898-748-0 / 9781838987480 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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