Complete Guide to Elasticsearch 8 with Python from Udemy

What's inside

Learning objectives

The theory of elasticsearch and how it works under-the-hood
Working with elasticsearch and kibana
Writing complex search queries
Connecting to elasticsearch using python
Being able to search, delete, query, delete and more using python client
How to build a powerful search engine with elasticsearch using kibana and python
Building oop classes with python for connecting to elasticsearch
Implementing logging and configuration yaml file!

Create fake sample data using python libraries
Using elasticsearch_dsl for creating easy dsl querying using python
Using elasticsearch_helper to insert and get documents efficiently
Elasticsearch with python
Python with elasticsearch
Elastic with python
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The theory of elasticsearch and how it works under-the-hood
Working with elasticsearch and kibana
Writing complex search queries
Connecting to elasticsearch using python
Being able to search, delete, query, delete and more using python client
How to build a powerful search engine with elasticsearch using kibana and python
Building oop classes with python for connecting to elasticsearch
Implementing logging and configuration yaml file!
Create fake sample data using python libraries
Using elasticsearch_dsl for creating easy dsl querying using python
Using elasticsearch_helper to insert and get documents efficiently
Elasticsearch with python
Python with elasticsearch
Elastic with python
Show more
Show less

Syllabus

Introduction to Elasticsearch and Python

Course Introduction and Overview

What is Elasticsearch? - Article

Elasticsearch Use Cases - Article

Let's test your knowledge with a short Quiz about 'Elasticsearch Use Cases'

https://github.com/idanwork22/elasticsearch-with-python-course

Setting Up Your Environment

Installing Elasticsearch and Kibana on Windows

Installing Elasticsearch on Windows - Article

Installing Elasticsearch on Linux - Article

Installing Elasticsearch on Mac - Article

Installing Python and Elasticsearch-Py Client Library

Configure our VENV

Installing Python and Elasticsearch-Py Client Library - Article

Basic Configuration and Connecting to Elasticsearch - Article

What will students be able to define and use functions, understand object-oriented programming, organize code with modules, and enhance functions with decorators.

Functions in Python: Definition and Usage

Functions in Python: Definition and Usage - QUIZ

Functions in Python: Definition and Usage - Code Exercise

Modules and Packages: Organizing Code

Modules and Packages: Organizing Code - QUIZ

Modules and Packages: Organizing Code - Coding Exercise

Understanding Python Classes and Objects

Understanding Python Classes and Objects - QUIZ

Understanding Python Classes and Objects - Coding Exercise

Understanding terms like: sql, nosql, field, document, kibana, index template, mapping, node, shard, cluster, index pattern and working with dev tools

Elasticsearch Terms & Structure

Elasticsearch Terms & Structure - Article

Understanding Elasticsearch Structure - QUIZ

Elasticsearch field types

Elasticsearch field types - Article

Elasticsearch field types - QUIZ

Working with Dev Tools

Indexing and Managing Documents with python

Introduction to Indexing and Managing Documents with python

Creating indices

Inserting Documents

Updating Documents

Deleting Documents

basic functions in elasticsearch-py - Article

Elasticsearch-Py is the official Python client library for Elasticsearch, providing a high-level interface for performing CRUD (Create, Read, Update, Delete) operations. This quiz tests your knowledge of CRUD operations in Elasticsearch-Py, including methods for creating and managing indexes, inserting and updating documents, searching for documents, and deleting documents. Test your knowledge and see how well you know Elasticsearch-Py!

Searching and Querying Elasticsearch

Introduction to Elasticsearch Query DSL

DSL - Article

Basic Searching with Python

Two keys filter Searching

Multi Match Searching

Numerical Searching

Advance Numerical Searching

Date Searching

Basic Aggregation Searching

Advance Aggregation Searching

Welcome to the Elasticsearch DSL Quiz! This quiz is designed to test your knowledge of Elasticsearch DSL and related concepts. Elasticsearch DSL is a high-level library that provides a convenient and intuitive way to interact with Elasticsearch from Python. It is built on top of the Elasticsearch Python client and provides a higher-level abstraction for building and executing Elasticsearch queries. This quiz will cover various aspects of Elasticsearch DSL, including querying, aggregations, indexing, and more. Good luck!

Working with elasticsearch_dsl Libary

Introduction to elasticsearch_dsl library

Installing elasticsearch_dsl library - Article

How to use elasticsearch_dsl - Article

This quiz will test your knowledge of Elasticsearch DSL, a powerful query language used to interact with Elasticsearch in Python. You'll be asked a series of questions about DSL syntax and its use cases, as well as how to implement DSL queries in Python using the Elasticsearch DSL library. Each question will include a code example, and you'll need to choose the correct answer that best matches what the code does or how to write it. Good luck!

elasticsearch_dsl - Basic Match

elasticsearch_dsl - Advance Match

elasticsearch_dsl - Numerical Searching

elasticsearch_dsl - Date Range

Elasticsearch-Py Helpers

Introduction to Elasticsearch-Py Helpers

elasticsearch.helper- Article

Using the Scan Helper for Efficiently Scrolling Large Datasets

Bulk Helpers: Bulk Indexing

This quiz will test your knowledge of the Elasticsearch Helper library, which is a high-level library built on top of the Elasticsearch Python client. It provides an easier and more Pythonic way to interact with Elasticsearch.

Building Elasticsearch Classes and Error Handling

Designing a Python Elasticsearch Client Class

Creating Elasticsearch class - Article

Implementing Basic CRUD Operations in the Client Class

Implementing bulk and scan in elasticsearch class

Errors Handling with Elasticsearch in Python - Article

Understanding Common Elasticsearch Errors

Logging with python - Article

Implementing Error Logging and Monitoring in Your Application

Real-world Project: Building a Search Application with Python and Elasticsearch

Project Overview and Requirements

In this project, students will build a search application using Python and Elasticsearch. The application will consist of several classes for handling logging, generating fake data, managing Elasticsearch operations, and defining index mappings. By the end of the project, students will have a solid understanding of Elasticsearch integration with Python and best practices for building scalable search applications.

working with yaml files as configuration - Article

Creating sample data - Article

This quiz tests your knowledge on Faker library, a Python library for generating fake data. It consists of 5 multiple-choice questions, and each question has 4 answer options. Choose the correct answer for each question.

Implementing Configuration class

Implementing Logging class

Implementing Faker class

Implementing basic Elasticsearch class

Implementing more functionality in Elasticsearch class

pandas X Elasticsearch - Extra Article

Conclusion and Next Steps

Course Recap and Key Takeaways

Staying Up-to-Date and Continuing Your Elasticsearch Journey

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches skills, knowledge, and tools that are highly relevant to industry

Taught by Idan Chen, one of the founders of 'The Science Coder'

Develops Python and Elasticsearch related skills, knowledge, and tools, which are in high demand for data analysis and software engineering

Covers unique perspectives on Elasticsearch and Python by combining theory with practical implementation

Explores the fundamentals of Elasticsearch and how to use it with Python, providing both theoretical and practical understanding

Suitable for learners with varying experience levels, from beginners to experienced users

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 Complete Guide to Elasticsearch 8 with Python with these activities:

Organize your Elasticsearch notes and resources

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Consolidate your learning materials by organizing your notes, assignments, quizzes, and exams into a central location.

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Gather all your course materials, including notes, assignments, quizzes, and exams.
Create a digital or physical filing system to organize your materials.
Review and update your materials regularly to ensure they are up-to-date and accessible.

Review object-oriented programming concepts

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Review the fundamentals of object-oriented programming to strengthen your understanding of classes and objects in Python.

Browse courses on Object-Oriented Programming

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Recap the principles of OOP, including encapsulation, inheritance, and polymorphism.
Practice creating and manipulating objects in Python.
Review code examples and tutorials on object-oriented programming in Python.

Work through Python exercises on data structures

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Reinforce your understanding of data structures by solving practice problems in Python, focusing on topics like lists, dictionaries, and sets.

Browse courses on Data Structures

Show steps

Find online coding platforms or resources that provide Python exercises on data structures.
Select exercises of varying difficulty levels to challenge your skills.
Work through the exercises and debug your code to find solutions.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Attend an Elasticsearch workshop or conference

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Network with experts and learn about the latest trends and best practices in Elasticsearch by attending an industry event.

Show steps

Research and identify relevant Elasticsearch workshops or conferences.
Register and attend the event, actively participating in sessions and discussions.
Follow up with new connections and explore opportunities for collaboration.

Read 'Elasticsearch: The Definitive Guide'

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Gain in-depth knowledge of Elasticsearch's architecture, features, and best practices by reading this comprehensive guide.

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

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Purchase or borrow a copy of 'Elasticsearch: The Definitive Guide'.
Read through the book, taking notes and highlighting important sections.
Complete the exercises and examples provided in the book to reinforce your understanding.

Contribute to open-source Elasticsearch projects

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Gain practical experience and contribute to the Elasticsearch community by volunteering on open-source projects.

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Identify open-source Elasticsearch projects that align with your interests and skills.
Reach out to the project maintainers to express your interest in contributing.
Review the project's documentation and codebase to familiarize yourself with its structure.
Identify areas where you can make meaningful contributions, such as bug fixes or feature enhancements.

Build a mini-project using Elasticsearch and Python

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Apply your Elasticsearch and Python skills by developing a small-scale project that solves a specific data-related problem.

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Define the scope and requirements of your project.
Gather and prepare the necessary data for your project.
Implement your project using Elasticsearch and Python, utilizing the concepts covered in the course.
Test and refine your project to ensure it meets the desired functionality.

Career center

Learners who complete Complete Guide to Elasticsearch 8 with Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists apply scientific and mathematical methods to analyze data and solve business problems. They develop and design data mining, machine learning, and statistical models. Many Data Scientists work with Elasticsearch as it is an essential tool for storing, searching, and analyzing large amounts of data. This course helps build a foundation for working with Elasticsearch in Python, a valuable skillset for a Data Scientist. In particular, the course's in-depth coverage of connecting to Elasticsearch from Python, writing complex search queries, and using Elasticsearch-Py and elasticsearch_dsl may be extremely helpful to a Data Scientist.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and test software applications. Many Software Engineers work with Elasticsearch, a popular database for storing and searching large amounts of data. This course provides a comprehensive overview of Elasticsearch and how to use it effectively with Python, a popular programming language used in software development. The course's focus on building real-world applications and working with Elasticsearch-Py and elasticsearch_dsl may be particularly relevant for a Software Engineer.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use a variety of tools and techniques to extract insights from data, including Elasticsearch. This course provides a solid foundation for working with Elasticsearch and Python, two essential tools for Data Analysts. The course's emphasis on data indexing, querying, and visualization may be particularly valuable for a Data Analyst.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. They ensure that data is stored, backed up, and retrieved efficiently. Many Database Administrators work with Elasticsearch to manage and optimize large-scale data stores. This course provides a comprehensive introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on building real-world applications and working with Elasticsearch-Py and elasticsearch_dsl may be particularly relevant for a Database Administrator.

See salaries and explore the career path for Database Administrator

Search Engineer

Search Engineers design, develop, and maintain search engines. They work to improve the relevance, accuracy, and efficiency of search results. Many Search Engineers use Elasticsearch as it is a powerful tool for building and managing search applications. This course provides a deep dive into Elasticsearch, including its architecture, indexing, querying, and relevance tuning. The course's focus on building real-world search applications and working with Elasticsearch-Py and elasticsearch_dsl may be especially valuable for a Search Engineer.

See salaries and explore the career path for Search Engineer

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models to solve business problems. They use a variety of tools and techniques to train and evaluate models, including Elasticsearch. This course provides a broad overview of Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on data indexing, querying, and visualization may be particularly helpful for a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects design and manage data systems. They work to ensure that data is stored, managed, and processed in a way that meets the needs of the business. Many Data Architects work with Elasticsearch as it is a powerful tool for storing and searching large amounts of data. This course provides a solid foundation for working with Elasticsearch and Python, two essential tools for Data Architects. In particular, the course's coverage of data indexing, querying, and visualization may be extremely helpful to a Data Architect.

See salaries and explore the career path for Data Architect

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They use a variety of tools and techniques to analyze data, including Elasticsearch. This course provides a practical introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on data visualization and real-world applications may be particularly helpful for a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers build and maintain data pipelines. They work to ensure that data is collected, stored, and processed in a way that meets the needs of the business. Many Data Engineers work with Elasticsearch as it is a powerful tool for storing and searching large amounts of data. This course provides a solid foundation for working with Elasticsearch and Python, two essential tools for Data Engineers. In particular, the course's coverage of data indexing, querying, and visualization may be extremely helpful to a Data Engineer.

See salaries and explore the career path for Data Engineer

Cloud Architect

Cloud Architects design and deploy cloud-based solutions. They work to ensure that cloud-based systems are scalable, reliable, and secure. Many Cloud Architects work with Elasticsearch as it is a popular database for storing and searching large amounts of data. This course provides a comprehensive overview of Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on building real-world applications and working with Elasticsearch-Py and elasticsearch_dsl may be especially valuable for a Cloud Architect.

See salaries and explore the career path for Cloud Architect

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use a variety of tools and techniques to identify and mitigate security risks, including Elasticsearch. This course provides a basic introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's coverage of security-related topics, such as authentication and authorization, may be particularly helpful for an Information Security Analyst.

See salaries and explore the career path for Information Security Analyst

DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. They work to streamline the process of building, deploying, and maintaining software applications. Many DevOps Engineers work with Elasticsearch as it is a powerful tool for storing and searching large amounts of data. This course provides a practical introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on building real-world applications and working with Elasticsearch-Py and elasticsearch_dsl may be especially valuable for a DevOps Engineer.

See salaries and explore the career path for DevOps Engineer

Product Manager

Product Managers are responsible for the development and launch of new products. They work to define product requirements, track progress, and ensure that products meet the needs of customers. Many Product Managers work with Elasticsearch as it is a powerful tool for storing and searching large amounts of data. This course provides a practical introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on building real-world applications and working with Elasticsearch-Py and elasticsearch_dsl may be especially valuable for a Product Manager.

See salaries and explore the career path for Product Manager

Technical Writer

Technical Writers create documentation for software and hardware products. They work to explain technical concepts in a clear and concise manner. Many Technical Writers work with Elasticsearch as it is a powerful tool for storing and searching large amounts of data. This course provides a basic introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on clear and concise communication may be especially valuable for a Technical Writer.

See salaries and explore the career path for Technical Writer

Systems Analyst

Systems Analysts analyze and design computer systems. They work to ensure that systems meet the needs of the business and are efficient and effective. Many Systems Analysts work with Elasticsearch as it is a powerful tool for storing and searching large amounts of data. This course provides a basic introduction to Elasticsearch, including its architecture, indexing, and querying capabilities. The course's focus on systems analysis and design may be especially valuable for a Systems Analyst.

See salaries and explore the career path for Systems Analyst

Complete Guide to Elasticsearch 8 with Python

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