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Learning Elastic Stack 7.0: Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana, 2nd Edition
A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0
Key Features 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 Book DescriptionThe Elastic Stack is a powerful combination of tools for techniques such as 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 help you use 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 searching 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 the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
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 Learn how to 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 Who this book is forThis book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.
Table of Contents Introducing Elastic Stack Getting Started with Elasticsearch Searching-What is Relevant Analytics with Elasticsearch Analyzing Log Data Building Data Pipelines with Logstash Visualizing data with Kibana Elastic X-Pack Running Elastic Stack in Production Building a Sensor Data Analytics Application Monitoring Server Infrastructure474 pages, Kindle Edition
Published May 31, 2019
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Displaying 1 - 5 of 5 reviews
August 26, 2020
In some way just an overview of the tools, with a little dive into queries. For me was just a waste of time
January 23, 2021
I got about 13% in and had to stop reading this book. Because of the amount of useless filler, I found I'm not getting what I want from it. For example, here's a passage:
All of that could be written succinctly as "An index contains documents of a single type. Later, we will discuss how both index and type can configured."
I get the feeling that the author is knowledgeable about the subject, and both he and the editor really tried to create a clear, comprehensive book about these tools, but it made the book into a long, choppy string of powerpoint bullet points.
An indexÌýis a container that stores and manages documents of a single type in Elasticsearch. We will look at type in the next section. An index can contain documents of a single Type, as depicted in the following diagram: (diagram)
An index is a logical container of a type. Some configuration parameters are defined at the index level, while other configuration parameters are defined at the type level, as we will see later in this chapter.
All of that could be written succinctly as "An index contains documents of a single type. Later, we will discuss how both index and type can configured."
I get the feeling that the author is knowledgeable about the subject, and both he and the editor really tried to create a clear, comprehensive book about these tools, but it made the book into a long, choppy string of powerpoint bullet points.
This entire review has been hidden because of spoilers.
October 30, 2021
I read a few chapters and they were well explained for beginners I actually learned a lot from the book about the structure, benefits and usage of Elastic Search , although there were some points which needed further explanation but I liked how it referenced the documentation, however I'm planning on going back to read the chapters I skipped when I need to
August 26, 2020
Quick and distilled with just enough information to get you going and be productive on the new ELK stack. I would recommend this book to anyone who is interested in this topic.
I wanted to brush-up my knowledge and see what is new. I got what I wanted.
I wanted to brush-up my knowledge and see what is new. I got what I wanted.
April 15, 2021
I didn’t have time to do learn ES on my own. This guide has all the relevant stuff to get ES up a running and understanding the basics and tricky parts. It helped me with my Final Degree Thesis.
Displaying 1 - 5 of 5 reviews
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