Elasticsearch Queries In Practice from Udemy

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.

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

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

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Elasticsearch Queries In Practice with these activities:

Read 'Elasticsearch: The Definitive Guide'

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Expand your knowledge of Elasticsearch by reading 'Elasticsearch: The Definitive Guide', a comprehensive resource for advanced users.

View Elasticsearch: The Definitive Guide: A... on Amazon

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Acquire the book
Read and understand the chapters on Elasticsearch architecture, query DSL, and performance optimization

Gather Resources on Elasticsearch Query DSL

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Create a curated collection of resources, such as articles, tutorials, and documentation, on Elasticsearch Query DSL to enhance your knowledge.

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Search and identify relevant resources
Organize and categorize the resources
Share your compilation with others

Join a Study Group for Elasticsearch Query DSL

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Engage with peers to discuss Elasticsearch Query DSL, exchange knowledge, and solidify your understanding.

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Find a study group or online forum
Participate in discussions and Q&A sessions

Four other activities

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Show all seven activities

Build a Simple Search Engine Using Python

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Practice building a basic search engine using Python to solidify your understanding of Elasticsearch Query DSL.

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Set up a Python development environment
Install Elasticsearch and its Python client
Create a simple search engine using Python
Run your search engine and test its functionality

Solve LeetCode Problems Related to Elasticsearch

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Sharpen your problem-solving skills by solving LeetCode problems related to Elasticsearch.

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Identify LeetCode problems that involve Elasticsearch
Solve the problems using Elasticsearch Query DSL and Search API
Review and optimize your solutions

Develop a Search Strategy for a Specific Business Case

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Develop a comprehensive search strategy for a specific business case to apply your understanding of Elasticsearch's capabilities.

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Identify the business requirements and goals
Research and understand the data sources
Design and implement a search strategy
Tune and optimize the search strategy
Document and present your search strategy

Contribute to an Open-Source Elasticsearch Project

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Gain practical experience and contribute to the Elasticsearch community by working on an open-source project.

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Identify an open-source Elasticsearch project
Understand the project's codebase and documentation
Make a meaningful contribution to the project
Collaborate with other contributors and maintainers

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.

See salaries and explore the career path for Search Engineer

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Cloud Architect

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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Big Data Engineer

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.

See salaries and explore the career path for Enterprise Architect

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.

See salaries and explore the career path for Information Security Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Systems Administrator

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Architect

Elasticsearch Queries In Practice

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