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Elasticsearch 9 and the Elastic Stack
Elasticsearch 9 and the Elastic Stack

Elasticsearch 9 and the Elastic Stack: Unlock the Power of Elasticsearch and the Elastic Stack

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Profile Icon Frank Kane
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Mex$3343.99
Video Nov 2017 15hrs 20mins 1st Edition
Video
Mex$3343.99
Subscription
Free Trial
Arrow left icon
Profile Icon Frank Kane
Arrow right icon
Mex$3343.99
Video Nov 2017 15hrs 20mins 1st Edition
Video
Mex$3343.99
Subscription
Free Trial
Video
Mex$3343.99
Subscription
Free Trial

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Key benefits

  • Comprehensive coverage of Elasticsearch installation, configuration, and architecture
  • Hands-on experience with data mapping, indexing, searching, and advanced aggregations
  • Practical applications of Elasticsearch with Kibana, Filebeat, Kafka, Spark, and cloud solutions

Description

This course starts by introducing Elasticsearch 9 and its role within the Elastic Stack. You’ll learn how to install and configure Elasticsearch, explore its basic architecture, and understand key concepts such as TF/IDF and logical structure. Then, dive into mapping, indexing, and searching data using Elasticsearch, along with tools like the Bulk API and Logstash for importing large datasets. Explore how to format and analyze data, and utilize aggregations and filters for complex queries. You’ll also learn how to work with Kibana, from installation to visualizing and managing Elasticsearch data. As you progress, the course takes you through advanced Elasticsearch features, including managing log data with Filebeat, working with Kafka and Spark, and leveraging Elasticsearch as a vector database for embeddings. The course also covers Elasticsearch operations such as choosing the right number of shards, monitoring, troubleshooting, and optimizing your cluster. It also introduces cloud-based Elasticsearch solutions with Amazon Elasticsearch Service and Elastic Cloud. With real-world scenarios and hands-on exercises, this course equips you with the skills to scale Elasticsearch in production environments, implement effective data management strategies, and optimize performance for large-scale applications.

Who is this book for?

This course is perfect for developers, data engineers, and system administrators interested in learning Elasticsearch. No prior knowledge of Elasticsearch is required, but a basic understanding of databases and programming concepts will be helpful.

What you will learn

  • Install and configure Elasticsearch within the Elastic Stack
  • Perform mapping, indexing, and searching with Elasticsearch
  • Utilize Bulk API and Logstash for importing large datasets
  • Create advanced queries using aggregations and filters
  • Visualize and manage Elasticsearch data with Kibana
  • Scale and optimize Elasticsearch in production environments

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Last updated date : Oct 29, 2025
Publication date : Nov 15, 2017
Length: 15hrs 20mins
Edition : 1st
Language : English
ISBN-13 : 9781788995122
Vendor :
Apache
Category :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
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Payment Processing...
tick Completed

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Product Details

Last updated date : Oct 29, 2025
Publication date : Nov 15, 2017
Length: 15hrs 20mins
Edition : 1st
Language : English
ISBN-13 : 9781788995122
Vendor :
Apache
Category :

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Table of Contents

10 Chapters
Installing and Understanding Elasticsearch Chevron down icon Chevron up icon
Mapping and Indexing Data Chevron down icon Chevron up icon
Searching with Elasticsearch Chevron down icon Chevron up icon
Importing Data Into Your Index - Big or Small Chevron down icon Chevron up icon
Aggregation Chevron down icon Chevron up icon
Using Kibana Chevron down icon Chevron up icon
Analyzing Log Data with the Elastic Stack Chevron down icon Chevron up icon
Elasticsearch Operations Chevron down icon Chevron up icon
Elasticsearch in the Cloud Chevron down icon Chevron up icon
You Made It! Chevron down icon Chevron up icon
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