Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process.
Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more.
By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.

1142904794
Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process.
Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more.
By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.

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Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale

Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale

by Dr. Nadine Shillingford
Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale
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Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale

Data Analytics Using Splunk 9.x: A practical guide to implementing Splunk's features for performing data analysis at scale

by Dr. Nadine Shillingford

Overview

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process.
Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more.
By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.

Product Details

ISBN-13: 9781803245485
Publisher: Packt Publishing
Publication date: 01/20/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 336
File size: 25 MB
Note: This product may take a few minutes to download.

About the Author

Dr. Nadine Shillingford is a certified Splunk Architect with 10 years of security consulting experience. She has installed, managed, and configured large-scale and large-volume Splunk deployments in the healthcare, retail, insurance, and federal spaces. In addition, Dr. Shillingford has teaching experience at the undergraduate and graduate levels. Dr. Shillingford holds a Ph.D. in computer science from the University of Notre Dame. She is an artist and the mother of a teenage daughter.

Table of Contents

Table of Contents
  1. Introduction to Splunk and its Core Components
  2. Setting Up the Splunk Environment
  3. Onboarding and Normalizing Data
  4. Introduction to SPL
  5. Reporting Commands, Lookups, and Macros
  6. Creating Tables and Charts Using SPL
  7. Creating Dynamic Dashboards
  8. Licensing, Indexing, and Buckets
  9. Clustering and Advanced Administration
  10. Data Models, Acceleration, and Other Ways to Improve Performance
  11. Multisite Splunk Deployments and Federated Search
  12. Container Management
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