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Learning Elastic Stack 7.0
Learning Elastic Stack 7.0

Learning Elastic Stack 7.0: Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana , Second Edition

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Profile Icon Pranav Shukla Profile Icon Sharath Kumar M N
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Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8 (6 Ratings)
Paperback May 2019 474 pages 2nd Edition
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Arrow left icon
Profile Icon Pranav Shukla Profile Icon Sharath Kumar M N
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$38.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8 (6 Ratings)
Paperback May 2019 474 pages 2nd Edition
eBook
$17.99 $26.99
Paperback
$38.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$17.99 $26.99
Paperback
$38.99
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Renews at $19.99p/m

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Learning Elastic Stack 7.0

Introducing Elastic Stack

The emergence of the web, mobiles, social networks, blogs, and photo sharing has created a massive amount of data in recent years. These new data sources create information that cannot be handled using traditional data storage technology, typically relational databases. As an application developer or business intelligence developer, your job is to fulfill the search and analytics needs of the application.

A number of data stores, capable of big data scale, have emerged in the last few years. These include Hadoop ecosystem projects, several NoSQL databases, and search and analytics engines such as Elasticsearch.

The Elastic Stack is a rich ecosystem of components serving as a full search and analytics stack. The main components of the Elastic Stack are Kibana, Logstash, Beats, X-Pack, and Elasticsearch.

Elasticsearch is at the heart of the Elastic Stack...

What is Elasticsearch, and why use it?

Since you are reading this book, you probably already know what Elasticsearch is. For the sake of completeness, let's define Elasticsearch:

Elasticsearch is a real-time, distributed search and analytics engine that is horizontally scalable and capable of solving a wide variety of use cases. At the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.

Elasticsearch is at the core of the Elastic Stack, playing the central role of a search and analytics engine. Elasticsearch is built on a radically different technology, Apache Lucene. This fundamentally different technology in Elasticsearch sets it apart from traditional relational databases and other NoSQL solutions. Let's look at the key benefits of using Elasticsearch as your data store:

  • Schemaless, document-oriented...

Exploring the components of the Elastic Stack

The Elastic Stack components are shown in the following diagram. It is not necessary to include all of them in your solution. Some components are general-purpose and can be used outside the Elastic Stack without using any other components.

Let's look at the purpose of each component and how they fit into the stack:

Elasticsearch

Elasticsearch is at the heart of the Elastic Stack. It stores all your data and provides search and analytic capabilities in a scalable way. We have already looked at the strengths of Elasticsearch and why you would want to use it. Elasticsearch can be used without using any other components to power your application in terms of search and analytics...

Use cases of Elastic Stack

Elastic Stack components have a variety of practical use cases, and new use cases are emerging as more plugins are added to existing components. As mentioned earlier, you may use a subset of the components for your use case. The following list of example use cases is by no means exhaustive, but highlights some of the most common ones:

  • Log and security analytics
  • Product search
  • Metrics analytics
  • Web searches and website searches

Let's look at each use case.

Log and security analytics

The Elasticsearch, Logstash, and Kibana trio was, previously, very popular as a stack. The presence of Elasticsearch, Logstash, and Kibana (also known as ELK) makes the Elastic Stack an excellent stack for aggregating...

Downloading and installing

Now that we have enough motivation and reasons to learn about Elasticsearch and the Elastic Stack, let's start by downloading and installing the key components. Firstly, we will download and install Elasticsearch and Kibana. We will install the other components as we need them on the course of our journey. We also need Kibana because, apart from visualizations, it also has a UI for developer tools and for interacting with Elasticsearch.

Starting from Elastic Stack 5.x, all Elastic Stack components are now released together; they share the same version and are tested for compatibility with each other. This is also true for Elastic Stack 6.x components.

At the time of writing, the current version of Elastic Stack is 7.0.0. We will use this version for all components.

...

Summary

In this chapter, we started by understanding the motivations of various search and analytics technologies other than relational databases and NoSQL stores. We looked at the strengths of Elasticsearch, which is at the heart of the Elastic Stack. We then looked at the rest of the components of the Elastic Stack and how they fit into the ecosystem. We also looked at real-world use cases of the Elastic Stack. We successfully downloaded and installed Elasticsearch and Kibana to begin the journey of learning about the Elastic Stack.

In the next chapter, we will understand the core concepts of Elasticsearch. We will learn about indexes, types, shards, datatypes, mappings, and other fundamentals. We will also interact with Elasticsearch by using Create, Read, Update, and Delete (CRUD) operations, and learn the basics of searching.

...
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Key benefits

  • Gain access to new features and updates introduced in Elastic Stack 7.0
  • Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana
  • Explore useful tips for using Elastic Cloud and deploying Elastic Stack in production environments

Description

The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

Who is this book for?

This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and understand how the real-time processing and search engine works for business analytics and enterprise search applications. Experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.

What you will learn

  • Install and configure an Elasticsearch architecture
  • Solve the full-text search problem with Elasticsearch
  • Discover powerful analytics capabilities through aggregations using Elasticsearch
  • Build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis
  • Create interactive dashboards for effective storytelling with your data using Kibana
  • Secure, monitor, and use Elastic Stack’s alerting and reporting capabilities
  • Take applications to an on-premise or cloud-based production environment with Elastic Stack
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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 31, 2019
Length: 474 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789954395
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Estimated delivery fee Deliver to United States

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Product Details

Publication date : May 31, 2019
Length: 474 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789954395
Vendor :
Elastic
Category :

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Table of Contents

16 Chapters
Section 1: Introduction to Elastic Stack and Elasticsearch Chevron down icon Chevron up icon
Introducing Elastic Stack Chevron down icon Chevron up icon
Getting Started with Elasticsearch Chevron down icon Chevron up icon
Section 2: Analytics and Visualizing Data Chevron down icon Chevron up icon
Searching - What is Relevant Chevron down icon Chevron up icon
Analytics with Elasticsearch Chevron down icon Chevron up icon
Analyzing Log Data Chevron down icon Chevron up icon
Building Data Pipelines with Logstash Chevron down icon Chevron up icon
Visualizing Data with Kibana Chevron down icon Chevron up icon
Section 3: Elastic Stack Extensions Chevron down icon Chevron up icon
Elastic X-Pack Chevron down icon Chevron up icon
Section 4: Production and Server Infrastructure Chevron down icon Chevron up icon
Running Elastic Stack in Production Chevron down icon Chevron up icon
Building a Sensor Data Analytics Application Chevron down icon Chevron up icon
Monitoring Server Infrastructure Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8
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Kumar Jul 09, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I got a copy , it is very easy to understand. illustrated in such a way that easy for beginners as well! Very good book so i wanted to leave a review here . I recommend it to any level of knowledge level in ELK
Amazon Verified review Amazon
Gopal Ghanghar Aug 08, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Authors have explained each concept in detail and can be easily understood. I would recommend this book to anyone who wants to start using elastic stack for their projects.
Amazon Verified review Amazon
glassycarbon Aug 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very nice writing. I can see the author paid a lot of effort on this book. Clear and concise explanation on the concept
Amazon Verified review Amazon
Robot1que Dec 29, 2019
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Index Lifecycle Management topic was completely avoided for some reason. Additionally I also agree with one of the reviewer that this book looks more like a rushed updated rather then anything else as there are some inconsistencies in different places of a book.It's a shame because otherwise it could be really good introduction into Elastic Stack as I like how author explains topics.
Amazon Verified review Amazon
Ian Willoughby May 23, 2021
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Some code does not appear to have been reviewed. Provides introduction to topics. But be prepared for a few extended sessions with stack overflow.
Amazon Verified review Amazon
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