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Book Overview & Buying
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Table Of Contents
Elasticsearch 9 and the Elastic Stack
By :
Elasticsearch 9 and the Elastic Stack
By:
Overview of this book
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.
Table of Contents (10 chapters)
Installing and Understanding Elasticsearch
Mapping and Indexing Data
Searching with Elasticsearch
Importing Data into Your Index - Big or Small
Using Aggregation
Using Kibana
Analyzing Log Data with the Elastic Stack
Elasticsearch Operations
Elasticsearch in the Cloud
You Made It!
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