Shukla / Kumar Learning Elastic Stack 7.0

Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana
2. Auflage 2024
ISBN: 978-1-78995-853-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 474 Seiten

A beginner\'s guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key 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 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.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
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 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.

Autoren/Hrsg.

Shukla, Pranav

Kumar, Sharath

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

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

Über Autor(innen)

Shukla Pranav :

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 diverse experience of over 14 years 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. He is a big data engineering, analytics, and machine learning enthusiast.Kumar M N Sharath :

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.