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 FREE CHAPTER

2. Introducing Elastic Stack

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

Section 2: Analytics and Visualizing Data

This section will introduce you to Elasticsearch topics such as text analysis, tokenizers, and analyzers, and to the importance of analysis. We will also learn about aggregation and see how we can acquire powerful insights from terabytes of data. Then, we will learn how to analyze log data using Logstash. You will gain insights into the architecture of Logstash and how to set it up. After that, we will see how filters bring Logstash closer to other real-time and near-real-time stream processing frameworks without the need to code. Finally, we will look at visualizations using Kibana. You will be amazed at how easy it is to create dashboards using Kibana.

This section includes the following chapters:

Chapter 3, Searching – What is Relevant
Chapter 4, Analytics with Elasticsearch
Chapter 5, Analyzing Log Data
Chapter 6, Building...

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