Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

You're reading from Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789954395

Length 474 pages

Edition 2nd Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Sharath Kumar

Pranav Shukla

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Introduction to Elastic Stack and Elasticsearch

2. Introducing Elastic Stack FREE CHAPTER

3. Getting Started with Elasticsearch

4. Section 2: Analytics and Visualizing Data

5. Searching - What is Relevant

6. Analytics with Elasticsearch

7. Analyzing Log Data

8. Building Data Pipelines with Logstash

9. Visualizing Data with Kibana

10. Section 3: Elastic Stack Extensions

11. Elastic X-Pack

12. Section 4: Production and Server Infrastructure

13. Running Elastic Stack in Production

14. Building a Sensor Data Analytics Application

15. Monitoring Server Infrastructure

16. Other Books You May Enjoy

Leave a review - let other readers know what you think

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Elasticsearch 7.0 Cookbook - Fourth Edition
Alberto Paro

ISBN: 9781789956504

Create an efficient architecture with Elasticsearch
Optimize search results by executing analytics aggregations
Build complex queries by managing indices and documents
Monitor the performance of your cluster and nodes
Design advanced mapping to take full control of index steps
Integrate Elasticsearch in Java, Scala, Python, and big data applications
Install Kibana to monitor clusters and extend it for plugins

Machine Learning with the Elastic Stack
Bahaaldine Azarmi, Rich Collier

ISBN: 9781788477543

Install the Elastic Stack to use machine learning features
Understand how Elastic machine learning is used to detect a variety of anomaly types
Apply effective anomaly detection to IT operations and...

The rest of the chapter is locked

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Pranav Shukla

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has over 14 years' experience in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. Pranav founded Valens DataLabs with the vision of helping companies to leverage data to their competitive advantage. In his spare time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket.

See other products by Pranav Shukla

Sharath Kumar M N

Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath is a certified trainer Elastic Certified Instructor one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.

See other products by Sharath Kumar M N