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

Pranav Shukla

Sharath Kumar M N

€18.99 per month

3.8 (6 Ratings)

Paperback May 2019 474 pages 2nd Edition

Pranav Shukla

Sharath Kumar M N

€18.99 per month

3.8 (6 Ratings)

Paperback May 2019 474 pages 2nd Edition

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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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50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

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Product Details

Publication date : May 31, 2019

Length: 474 pages

Edition : 2nd

Language : English

ISBN-13 : 9781789954395

Vendor :

Elastic

Category :

Data

Concepts :

Enterprise Search

Tools :

Elasticsearch

Frequently bought together

Learning Elastic Stack 7.0

May 2019 474 pages

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16 Chapters

Section 1: Introduction to Elastic Stack and Elasticsearch

Introducing Elastic Stack

What is Elasticsearch, and why use it?

Exploring the components of the Elastic Stack

Use cases of Elastic Stack

Downloading and installing

Summary

Getting Started with Elasticsearch

Using the Kibana Console UI

Core concepts of Elasticsearch

CRUD operations

Creating indexes and taking control of mapping

REST API overview

Summary

Section 2: Analytics and Visualizing Data

Searching - What is Relevant

The basics of text analysis

Searching from structured data

Searching from the full text

Writing compound queries

Modeling relationships

Summary

Analytics with Elasticsearch

The basics of aggregations

Preparing data for analysis

Metric aggregations

Bucket aggregations

Pipeline aggregations

Summary

Analyzing Log Data

Log analysis challenges

Using Logstash

The Logstash architecture

Overview of Logstash plugins

Ingest node

Summary

Building Data Pipelines with Logstash

Parsing and enriching logs using Logstash

Introducing Beats

Filebeat

Summary

Visualizing Data with Kibana

Downloading and installing Kibana

Section 3: Elastic Stack Extensions

Elastic X-Pack

Installing Elasticsearch and Kibana with X-Pack

Configuring X-Pack

Securing Elasticsearch and Kibana

Monitoring Elasticsearch

Alerting

Summary

Section 4: Production and Server Infrastructure

Running Elastic Stack in Production

Hosting Elastic Stack on a managed cloud

Hosting Elastic Stack on your own

Backing up and restoring

Setting up index aliases

Setting up index templates

Modeling time series data

Summary

Building a Sensor Data Analytics Application

Introduction to the application

Modeling data in Elasticsearch

Setting up the metadata database

Building the Logstash data pipeline

Sending data to Logstash over HTTP

Visualizing the data in Kibana

Summary

Monitoring Server Infrastructure

Metricbeat

Configuring Metricbeat

Capturing system metrics

Deployment architecture

Summary

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About the authors

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.

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

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