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Elasticsearch Queries In Practice

Piotr Zuk

This course will guide you how to properly and effectively use Elasticsearch Query DSL (Domain Specific Language) based on JSON to define queries. Additionally I present most commonly used Search APIs that will help you fully understand how Elasticsearch works and how to use it to build modern search applications, like Google, Bing, Yahoo. , DuckDuckGo etc. Course contains a lot of practical knowledge, examples and hands-on lectures.

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This course will guide you how to properly and effectively use Elasticsearch Query DSL (Domain Specific Language) based on JSON to define queries. Additionally I present most commonly used Search APIs that will help you fully understand how Elasticsearch works and how to use it to build modern search applications, like Google, Bing, Yahoo. , DuckDuckGo etc. Course contains a lot of practical knowledge, examples and hands-on lectures.

If you are a beginner, don't worry, course guides you from very generic concept of lucene inverted index and role of search engines like Elasticsearch) in the system architecture to more advanced features.

If you have no data to play with, don't worry we import sample datasets at the very beginning of this course.

If you already have experience with Elasticsearch, you will enjoy the advanced part of it. Maybe you wonder if the way that use use Elasticsearch is the proper way and maybe your queries can return results faster ? If so, then course will help you find answers to that questions, optionally grounding and strengthening your exiting experience. No matter what is your existing level of knowledge, after completing this course, you will be ready to become a true professional in the Elasticsearch community.

In this course, I will show you how to properly use Elasticsearch product. We will start by explaining basic terms and role of Elasticsearch in the system architecture. Then, after importing sample data, we will go through term based queries, range queries, specialized queries, geo queries, nested queries and so on. We will get to know how to build effective notifications by using percolate queries or aggregate and analyze results using aggregations.

I’ll show you how to do highlighting, suggestions, spell corrections, and template your queries. At the end we will cover tuning and optimization best practices, query profiling, performance testing and customize default routing and scoring.

Overall, you'll learn how to properly and effectively query Elasticsearch in the easy way, without spending hours reading manuals.

I hope to see you in the first lecture.

Enroll now

What's inside

Learning objectives

  • Elasticsearch query dsl & search api best practices
  • Distributed search architecture & basic terms
  • How to tune-up and analyze queries
  • How to customize routing and scoring
  • How to do highlighting, suggestions, spell corrections
  • How to design effective notifications with percolate query
  • How to analyze and aggregate data using aggregations
  • How to use query templates

Syllabus

About this Course and Author
About the author
Code & Slides Download
Slides and Code Download
Read more
Prerequisites
How to prepare yourself to this course
Role of Elasticsearch in the infrastructure
Basic Terms
Test
Search in Elasticsearch cluster
Distributed Search
Source and Inverted Index
Query DSL
How to run Elasticsearch & Kibana
Sample DataSet
Search Types
Search API
Term Query
Bool Query
Query context or Filter context
Range Query
Prefix Query & Wildcard Query
Regexp Query
Match Query
QueryString Query
Fuzzy query
Span Query
Geo Query
Nested objects & nested query
Reverse search - Percolate
Aggregations
Aggregations Overview
Aggregations - Metric Aggregations
Aggregations - Bucketing Aggregations
Aggregations - Pipeline Aggregations
Search API special features
Highlighting
Suggestions And Spell Correction
Search templates
Source filtering
Scroll API
Tuning & Optimizations
Tuning & good practices
Index naming convention
Search Profiler
Performance testing
Slowlog
Custom Routing
Custom Analyzer
Custom Scoring
Congratulations
Thank You!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides in-depth understanding of how to use Elasticsearch Query DSL and Search APIs for building modern search applications
Designed for learners with varied experience levels, from beginners to those seeking advanced knowledge
Includes hands-on exercises, examples, and practical knowledge to support learners' understanding
Covers advanced topics such as performance optimization, query profiling, and customization, making it suitable for experienced learners
Taught by Piotr Zuk, an instructor with expertise in Elasticsearch
Provides knowledge and skills that are highly relevant to roles involving data analysis and search engine development

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Activities

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Career center

Learners who complete Elasticsearch Queries In Practice will develop knowledge and skills that may be useful to these careers:
Search Engineer
Search Engineers design, build, and maintain search systems and applications. Mastery of Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are essential for Search Engineers seeking to build and manage efficient and effective search systems. This course provides a comprehensive foundation in Elasticsearch, enabling Search Engineers to become more proficient and confident in designing, building, and maintaining search systems and applications, meeting the needs of users and delivering exceptional search experiences.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure to manage and process large volumes of data. Mastery of Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are essential for Data Engineers seeking to effectively manage and analyze big data sets. This course can be useful for Data Engineers, providing a foundation in Elasticsearch, helping them become more proficient and confident in managing and querying big data, enabling them to build and maintain efficient and performant data pipelines and infrastructure.
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems and infrastructure. Familiarity with Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are essential for Cloud Architects seeking to build and manage efficient and effective cloud-based information systems. This course may be useful for Cloud Architects as it provides a strong foundation in Elasticsearch, enabling them to more effectively design, manage, and maintain cloud-based systems and infrastructure.
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams to ensure smooth and efficient software development and delivery. Familiarity with Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are essential for DevOps Engineers seeking to effectively manage and monitor Elasticsearch clusters. This course can be useful for DevOps Engineers, providing a foundation in Elasticsearch, helping them become more proficient in managing and maintaining Elasticsearch clusters, enabling them to bridge the gap between development and operations teams more effectively.
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models to solve complex business problems. Familiarity with Elasticsearch Query DSL and Search API is essential for Machine Learning Engineers seeking to efficiently search, analyze, and extract data insights to train and improve machine learning models. This course can be useful for Machine Learning Engineers, providing a foundation in Elasticsearch, helping them become more proficient and confident in working with Elasticsearch, enabling them to build and deploy more accurate and performant machine learning models.
Big Data Engineer
Big Data Engineers design, build, and manage big data systems to store, process, and analyze large volumes of data. Mastery of Elasticsearch Query DSL and Search API is essential for Big Data Engineers seeking to effectively manage and analyze big data sets. This course can be useful for Big Data Engineers, providing a foundation in Elasticsearch, helping them become more proficient and confident in managing and querying big data, enabling them to build and maintain efficient and performant big data systems.
Enterprise Architect
Enterprise Architects design, implement, and maintain the overall architecture of an organization's information systems. Familiarity with Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are essential for Enterprise Architects seeking to build and maintain efficient and effective information systems. This course may be of use to Enterprise Architects as it provides a foundation in Elasticsearch, helping them become more proficient in managing Elasticsearch clusters and integrating them into the organization's overall architecture.
Information Security Analyst
Information Security Analysts implement and manage security measures to protect an organization's data and network from unauthorized access and attacks. Familiarity with Elasticsearch Query DSL and Search API best practices are essential skills for Information Security Analysts seeking to effectively search, detect, and respond to security threats and incidents. This course can be useful for Information Security Analysts, providing a foundation in Elasticsearch, helping them become more proficient and confident in investigating security incidents and maintaining a secure network and data environment within the organization.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Mastery of Elasticsearch Query DSL and Search API is essential for Data Scientists seeking to efficiently search, analyze, and extract insights from Elasticsearch clusters. This course can be useful for Data Scientists, providing a foundation in Elasticsearch, helping them become more proficient and confident in working with the tool to extract and analyze data, enabling them to make more accurate and insightful predictions.
Software Engineer
Software Engineers design, build, test, and maintain software systems. Mastery of Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are all essential skills for Software Engineers working on systems that utilize or integrate with Elasticsearch. This course may be particularly useful for Software Engineers seeking to develop web applications and search features and offers a solid foundation in Elasticsearch, helping them become more proficient in querying, tuning, and managing Elasticsearch clusters to deliver efficient and performant software.
Systems Administrator
Systems Administrators manage and maintain computer systems and networks. Familiarity with Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are all essential for Systems Administrators seeking to efficiently manage Elasticsearch clusters. This course can be useful for Systems Administrators, providing a foundation in Elasticsearch, helping them become more proficient in managing Elasticsearch clusters, and empowering them to keep the system running smoothly and efficiently.
Information Architect
Information Architects design, create, and maintain information systems for businesses and organizations. Familiarity with Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are all essential for Information Architects seeking to build effective and efficient information systems. This course may be useful for Information Architects as it provides a foundation in Elasticsearch, helping them become more proficient in retrieving and managing data in the system, which is essential for building and maintaining efficient and effective information systems.
Database Administrator
Database Administrators design, implement, maintain, and troubleshoot data management systems. Mastery of Elasticsearch Query DSL, Search API best practices, and tuning and optimization techniques are all essential for successful Database Administrators seeking to maximize the performance and efficiency of their data management systems. This course may be useful for Database Administrators as it provides a strong foundation in Elasticsearch, helping them become more proficient and confident in managing Elasticsearch clusters.
Data Analyst
Data Analysts perform data analysis and make data-driven recommendations to maximize the output and efficiency of an organization. A mastery of Elasticsearch Query DSL and Search API is essential for wrangling, extracting, and analyzing data insights from Elasticsearch clusters. This course may be useful for Data Analysts as it helps build a foundation for effectively querying Elasticsearch, empowering them with the skills to analyze data and provide more valuable insights and recommendations based on the data.
Data Architect
Data Architects design, construct, manage, and maintain data systems to maximize data usability, availability, accessibility, and performance for the organization. Analyzing and defining Elasticsearch queries as well as tuning and optimizing performance are some of the core skills Data Architects require. This course may be useful for Data Architects because it can help build a foundation in Elasticsearch Query DSL and Search API best practices, helping them become more familiar with the tool they use to design effective data systems and solutions for the organization.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Elasticsearch Queries In Practice.
A comprehensive book serving as a practical introduction to Elasticsearch. It covers more advanced topics like performance tuning and custom scoring functions.
A beginner-friendly book that provides a solid foundation in Elasticsearch concepts, installation, and configuration.
A practical guide that complements the official Elasticsearch documentation, providing clear explanations and hands-on exercises.
While not specific to Elasticsearch, this book offers a broader perspective on search engine technology, including information retrieval models and evaluation techniques.
While not specific to Elasticsearch, this book provides valuable insights into scaling and performance optimization techniques applicable to any distributed system, including Elasticsearch.
While not specific to Elasticsearch, this book offers best practices and case studies on building and operating reliable and scalable production systems, providing valuable insights for managing Elasticsearch deployments.

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