4.6
Intermediate
10h
Updated 3 months ago
Elasticsearch Fundamentals: Indexing and Querying Data
Discover Elasticsearch’s architecture and capabilities. Learn about indexing and storing data, conducting precise queries, including fuzzy searches, and executing real-time data analysis effectively.
This course explores Elasticsearch, an open-source, Java-based, full-text search and analytics engine that harnesses the power of the Lucene library. You’ll discover its capabilities as a versatile search engine for business data, offering the ability to store information, conduct searches on accurate and typo-ridden text, and perform real-time data analysis on vast datasets.
Throughout this course, you will gain comprehensive insights into the architecture of Elasticsearch and master the art of indexing and storing data within the Elasticsearch framework. You will progress to learn how to execute various types of queries, including fuzzy queries, and explore the intricacies of each operation and how it is implemented within Elasticsearch.
After completing the course, you’ll have gained a comprehensive understanding of the internal mechanisms of Elasticsearch and developed the skills to effectively use it for your data management and analysis requirements.
This course explores Elasticsearch, an open-source, Java-based, full-text search and analytics engine that harnesses the power o...Show More
WHAT YOU'LL LEARN
An understanding of Elasticsearch’s core data structures, such as inverted index, and how to effectively index and query data
Familiarity with Elasticsearch’s powerful search capabilities, including full-text, faceted, and fuzzy search
In-depth knowledge of Elasticsearch’s aggregation and analytics features, including how to extract insights from large datasets
An understanding of text analysis and how Elasticsearch uses analyzers to achieve accurate search results
In-depth knowledge of how Elasticsearch indexes and performs search operations
An understanding of Elasticsearch’s core data structures, such as inverted index, and how to effectively index and query data
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Content
1.
Introduction to Elasticsearch
2 Lessons
Get familiar with Elasticsearch, a powerful search engine, and the Elastic Stack suite.
2.
Getting started on Elasticsearch
7 Lessons
Look at Elasticsearch architecture, interactions, CRUD operations, mapping, data types, and scripting for efficient data handling.
3.
Text Analysis
10 Lessons
Examine text analysis techniques in Elasticsearch, including analyzers, custom configurations, and practical challenges.
4.
Search on ElasticSearch
12 Lessons
Grasp the fundamentals of Elasticsearch search features with various query types and practical challenges.
5.
Aggregation
9 Lessons
Map out the steps for performing and combining various aggregations to analyze data efficiently.
Certificate of Completion
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Course Author:
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