Learning Elastic Stack 7.0: Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana, 2nd Edition (English Edition)

Learning Elastic Stack 7.0: Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana, 2nd Edition (English Edition)

作者
Pranav Shukla、Sharath Kumar M N
语言
英语
出版社
Packt Publishing 版次:2
出版日期
2019年5月31日
纸书页数
474页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
36280 KB
下载次数
3051
更新日期
2023-06-09
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

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 Description

The 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 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 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 Infrastructure

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