Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana
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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Birmingham, UK
Packt Publishing
2019
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| Ausgabe: | Second edition. |
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| spelling | Shukla, Pranav VerfasserIn aut Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana Pranav Shukla, Sharath Kumar M N Second edition. Birmingham, UK Packt Publishing 2019 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous edition published: 2017. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed October 30, 2019) 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 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 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 ana ... Information visualization Electronic data processing Distributed processing Open source software Visualisation de l'information Traitement réparti Logiciels libres Electronic data processing ; Distributed processing Sharath Kumar M. N. VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781789954395/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Shukla, Pranav Sharath Kumar M. N. Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana Information visualization Electronic data processing Distributed processing Open source software Visualisation de l'information Traitement réparti Logiciels libres Electronic data processing ; Distributed processing |
| title | Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana |
| title_auth | Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana |
| title_exact_search | Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana |
| title_full | Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana Pranav Shukla, Sharath Kumar M N |
| title_fullStr | Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana Pranav Shukla, Sharath Kumar M N |
| title_full_unstemmed | Learning Elastic Stack 7.0 distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana Pranav Shukla, Sharath Kumar M N |
| title_short | Learning Elastic Stack 7.0 |
| title_sort | learning elastic stack 7 0 distributed search analytics and visualization using elasticsearch logstash beats and kibana |
| title_sub | distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana |
| topic | Information visualization Electronic data processing Distributed processing Open source software Visualisation de l'information Traitement réparti Logiciels libres Electronic data processing ; Distributed processing |
| topic_facet | Information visualization Electronic data processing Distributed processing Open source software Visualisation de l'information Traitement réparti Logiciels libres Electronic data processing ; Distributed processing |
| url | https://learning.oreilly.com/library/view/-/9781789954395/?ar |
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