Elasticsearch: Build, Query & Optimize with ELK

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Elasticsearch: Build, Query & Optimize with ELK

本课程是 Elastic Stack Mastery with Elasticsearch & AWS 专项课程的一部分

位教师：EDUCBA

包含在中

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5个模块

深入了解一个主题并学习基础知识。

11 条评论

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

11 条评论

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Configure clusters and manage data with Elasticsearch APIs.
Build custom analyzers and execute advanced geo queries.
Integrate Elasticsearch with Logstash and Kibana for analytics.

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您将学习的工具

要了解的详细信息

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作业

20 项作业

授课语言：英语（English）

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本课程是 Elastic Stack Mastery with Elasticsearch & AWS 专项课程专项课程的一部分

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该课程共有5个模块

By completing this course, learners will be able to design data models, configure clusters, build custom analyzers, and construct powerful queries in Elasticsearch. They will also master the use of Cluster, Indices, and Document APIs to manage distributed data efficiently. The course provides practical skills in configuring analyzers, avoiding split-brain issues, translating SQL queries into Elasticsearch DSL, and implementing advanced queries such as geo_point and geo_shape searches.

This course benefits learners by bridging the gap between theory and hands-on application, enabling them to use Elasticsearch with Logstash and Kibana for real-time data ingestion, indexing, and visualization. Unlike traditional database training, this course emphasizes distributed architecture, near real-time search, and practical troubleshooting strategies. What makes this course unique is its comprehensive coverage of Elasticsearch fundamentals through to advanced APIs, combined with real-world scenarios that highlight scalability, performance optimization, and query precision. Whether you are a beginner in NoSQL systems or an IT professional aiming to go beyond basics, this course equips you with the knowledge and confidence to apply Elasticsearch effectively in modern data-driven environments.

This module introduces learners to the ELK Stack, the basics of NoSQL, and the fundamental building blocks of Elasticsearch. Students will explore core concepts such as clusters, nodes, mappings, and data types, while also practicing with developer tools for real-time interaction.

涵盖的内容

10个视频4个作业

10个视频总计84分钟

Introduction to Comprehensive Elastic Stack (Elk Stack) Training11分钟
Introduction to Nosql8分钟
Installation of Elastic Search9分钟
Important Key Definitions9分钟
Cluster of of Elastic Search7分钟
Mappings7分钟
Mappings Continues6分钟
Types of Datatable Elastic Search11分钟
IP Keyword Date and Nested8分钟
Dev Tools8分钟

4个作业总计60分钟

Graded - Foundations of Elasticsearch and NoSQL30分钟
Introduction to ELK Stack and NoSQL10分钟
Core Concepts and Cluster Basics10分钟
Data Types and Developer Tools10分钟

This module explores how analyzers process text for search, the importance of tokenizers and filters, and Elasticsearch’s approach to transactions. It also covers cluster settings, discovery configuration, and techniques to prevent the split-brain problem.

涵盖的内容

12个视频4个作业

12个视频总计112分钟

Elasticsearch Analyzers11分钟
Analyzers Consists of 3 Components12分钟
Tokenized Inverted Index7分钟
Token Filter7分钟
Transactions12分钟
Edge Gram and Synoym Analyzer10分钟
Cluster Dot Name11分钟
Discovery Configuration7分钟
Gateway Configuration9分钟
Field Data7分钟
Split Brain9分钟
How to Avoid the Split-Brain Problem12分钟

4个作业总计60分钟

Graded - Analyzers, Transactions, and Cluster Configuration30分钟
Understanding Analyzers10分钟
Advanced Analyzer Techniques10分钟
Cluster Configurations and Split-Brain Problem10分钟

This module teaches learners to build and optimize queries in Elasticsearch. Topics include query vs. filter contexts, full-text queries, term-level queries, range queries, and advanced geospatial queries for real-world applications.

涵盖的内容

16个视频4个作业

16个视频总计133分钟

Query Context9分钟
Filter Context8分钟
Match Phrase Query11分钟
Text and Title Query10分钟
Term Level Query8分钟
Term Level Query Continue7分钟
More on Term Level Query7分钟
Range Query9分钟
Range Query Continue8分钟
Prefix Exists Query11分钟
Geo Shape Data Shape12分钟
Geo Shape Data Shape Example5分钟
Geo Point Sort Query and its Example8分钟
Geo Distance Query Filter and its Example6分钟
Geo Polygon Query6分钟
Geo Polygon Query Continues8分钟

4个作业总计60分钟

Graded - Querying in Elasticsearch30分钟
Query and Filter Contexts10分钟
Match, Term, and Range Queries10分钟
Advanced Query Types10分钟

This module focuses on effective data modeling and designing custom analyzers. Learners will explore SQL-to-DSL translation, dynamic templates, and strategies for managing multiple custom analyzers to improve indexing and search accuracy.

涵盖的内容

17个视频4个作业

17个视频总计159分钟

Working on Behaviour of Keywords12分钟
Convert SQL Query to Elasticsearch Queries11分钟
Convert SQL Query to Elasticsearch Queries Continues8分钟
Working with Data Model9分钟
More on Data Model11分钟
Example of Data Model10分钟
Example of Data Model Continues8分钟
Working with Multiple Custom Analyzers8分钟
Solution Multiple Custom Analyzers7分钟
More on Multiple Custom Analyzers7分钟
Dynamic Templates in Elastic Search Queries9分钟
Example of Dynamic Templates11分钟
Path and Pattern Dynamic Templates11分钟
Example of Path and Pattern5分钟
Working with Attributes Mapping in Dynamic Template12分钟
Working with Attributes Mapping in Dynamic Template Continues9分钟
Creating Mapped Attribute Area Object10分钟

4个作业总计60分钟

Graded - Data Modeling and Custom Analyzers30分钟
Keywords, SQL Conversion, and Data Models10分钟
Custom Analyzers10分钟
Dynamic Templates10分钟

This module introduces Elasticsearch APIs for managing clusters, indices, and documents. Students will learn how to monitor cluster health, manage indices with aliases, and perform CRUD operations with Document APIs and the Bulk API.

涵盖的内容

13个视频4个作业

13个视频总计143分钟

Cluster APIs in Elasticsearch Queries13分钟
Example of Cluster APIs11分钟
Cluster Reroutes10分钟
Example of Cluster Reroutes12分钟
Indices APIs in Elastic Search Queries12分钟
Example of Creating a Slot Index12分钟
Open and Index APIs10分钟
Get and Put Mapped in Index APIs11分钟
Working Indices Aliases using Index APIs10分钟
Document APIs in Elastic Search Queries11分钟
Working with Get APIs in Document APIs8分钟
Working with Delete APIs in Document APIs11分钟
Working with Update and Bulk APIs in Document APIs12分钟

4个作业总计60分钟

Graded - Elasticsearch APIs and Document Management30分钟
Cluster APIs10分钟
Indices APIs10分钟
Document APIs10分钟

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位教师

授课教师评分

(6个评价)

EDUCBA

1,057 门课程265,158 名学生

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EDUCBA

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已于 Apr 8, 2026审阅

A well-structured course that builds knowledge step by step, from data modeling to advanced geo queries. The progression is smooth and easy to follow.

已于 Apr 5, 2026审阅

The course does a great job of simplifying Elasticsearch DSL and translating SQL queries into it. This makes it very useful for professionals transitioning from traditional databases.

已于 Apr 4, 2026审阅

A highly informative course that explains distributed search and data indexing clearly. The integration with Logstash and Kibana adds great practical value.

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