Practical Elasticsearch 8: Hands-On Learning with jаvascript for Developers

What you'll learn

Gain a comprehensive understanding of Elasticsearch 8 and Kibana, guided by a seasoned software architect with a decade of expertise in Python, and jаvascript

Master the essentials of Elasticsearch, including the installation of Elasticsearch and Kibana, and the concepts of Shards, Replicas, and Index management.

Develop proficiency in Elasticsearch DSL for efficient index creation, document manipulation, and powerful query contexts.

Explore advanced search techniques, including filter contexts and fuzzy searches, ensuring you can manipulate data with precision and flexibility.

Learn the practical application of dynamic mappings, custom mappings, and built-in and custom analyzers to optimize Elasticsearch for diverse scenarios.

Deepen your knowledge with practical quizzes, reinforcing your ability to apply learned concepts in real-world scenarios.

Discover the seamless integration of Elasticsearch into modern development practices by connecting with Elasticsearch in Docker using jаvascript.

Conclude the course by implementing an employee management system, covering the creation of APIs, indexing documents, retrieving employee data, and errorhandlig

Develop a skill set that extends beyond traditional environments, understanding how to work with Elasticsearch in both standard and containerized settings.

Unlock the secrets of search performance optimization, equipping yourself with three techniques to enhance the efficiency of your Elasticsearch queries.

Walk away with the confidence to implement robust search functionalities using Elasticsearch 8 and Kibana in your projects

Requirements

A basic understanding of jаvascript programming, such as variables, data types, functions, loops

A computer with an internet connection and a web browser

A willingness to learn and explore new technologies and concepts

Description

Welcome to "Elasticsearch 8 Course with jаvascript Client for Beginners: Mastering Search and Analytics"! As a seasoned software architect with a decade of expertise in Python, Java, and jаvascript, I'm thrilled to guide you through this comprehensive Udemy course dedicated to Elasticsearch and Kibana.Embark on your journey by gaining a strong foundation in Elasticsearch and Kibana installation, setting the stage for a deep dive into the latest Elasticsearch version 8. Our carefully structured curriculum begins with fundamental concepts such as Shards, Replicas, and Index management, ensuring you grasp the essentials before progressing to more advanced topics.Unlock the potential of Elasticsearch DSL as we explore index creation, document manipulation, and powerful query contexts. Delve into the intricacies of filter contexts, fuzzy searches, and dynamic mappings, empowering you to manipulate data effortlessly.But this course goes beyond theory. With practical sessions, you'll install Node.js, set up Visual Studio Code, and connect securely to Elasticsearch using the jаvascript client. Learn to create and manage indices, refresh indexes, and retrieve documents by ID, all while solidifying your understanding with hands-on quizzes.As we advance, discover the world of aggregations, custom mappings, and analyzers, equipping you to optimize Elasticsearch for real-world scenarios. We don't just stop at theory – practical quizzes ensure you can apply your knowledge confidently.The course's practicality extends further as we guide you through connecting with Elasticsearch in Docker using jаvascript. Witness the seamless integration of Elasticsearch into modern development practices, enhancing your skill set for both traditional and containerized environments.To provide a holistic learning experience, we conclude with a discussion on search performance optimization techniques and a practical application: building an employee management system. Learn to create APIs, index documents, retrieve employee data, and handle errors seamlessly.Whether you're a beginner or an experienced developer, "Elasticsearch 8 Course with jаvascript Client for Beginners" promises to be a transformative experience. By the end, you'll be equipped to harness the full potential of Elasticsearch 8, implementing robust search functionalities with confidence. Join me on this exciting journey, and let's master Elasticsearch and Kibana together!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Structure

Section 2: Setting up development environment

Lecture 3 Installing Elasticsearch 8 with Kibana

Section 3: Understanding Basic Elasticsearch Concepts

Lecture 4 Introduction to Elasticsearch

Lecture 5 Shards and Replicas in Elasticsearch

Lecture 6 Index, Retrieve and Delete index

Lecture 7 Query context in DSL

Lecture 8 Filter context and fuzzy search

Section 4: Advance Elasticsearch Concepts

Lecture 9 Aggregations in Elasticsearch

Lecture 10 Custom mappings and settings

Lecture 11 Dynamic Mappings

Lecture 12 Built in and Custom analyzers

Section 5: Getting Started with Elasticsearch jаvascript Client

Lecture 13 Installing node and vs code

Lecture 14 Connecting to Elasticsearch using https

Section 6: Elasticsearch in Docker Container

Lecture 15 Installing docker on windows

Lecture 16 Connecting with Elasticsearch in docker using jаvascript

Section 7: Basic operations with Elasticsearch jаvascript Client

Lecture 17 Creating Index

Lecture 18 Indexing Documents

Lecture 19 Refresh index and get document by id

Lecture 20 Creating search Documents and run method

Lecture 21 Create index named books

Lecture 22 Preparing documents of books and then indexing them

Lecture 23 Creating search Documents method

Lecture 24 Refresh search documents and running all methods

Section 8: Sorting and Pagination

Lecture 25 Sorting and pagination

Section 9: Working with GEO Spatial Data

Lecture 26 Working with geo spatial data

Section 10: Aggregations in ES with jаvascript Client

Lecture 27 Indexing documents for aggregations in Elasticsearch

Lecture 28 Terms aggregations

Lecture 29 Date histogram aggregations

Lecture 30 Range aggregations

Lecture 31 Metrics aggregations

Section 11: Employee Management System Api

Lecture 32 Creating employee management system installing libs and running server

Lecture 33 Creating first api to create employees index and indexing first document

Lecture 34 Retrieve all employees api

Lecture 35 Implementing get employee by its id

Lecture 36 Creating update employee api

Lecture 37 Implementing delete api

Section 12: Optimizing search performance and error handling

Lecture 38 3 Techniques to optimize search performancemp4

Lecture 39 Error handling jаvascript Client

Section 13: Conclusion

Lecture 40 Conclusion

Data analysts and scientists who want to explore and visualize their data using Elasticsearch and Kibana,Web developers who want to build fast and scalable web applications using Elasticsearch and node,Software engineers who want to learn how to design and implement efficient and reliable search systems using Elasticsearch and node,Hobbyists and enthusiasts who want to learn new and exciting technologies and concepts