Building A Search Engine Using Elasticsearch Or Opensearch

Become a search engine expert by acquiring both the theoretical and practical knowledge require to build one

What you'll learn

Understand how a search engine works

Understand how scoring works

Implement basic end-to-end full text search with Elasticsearch/Opensearch

Implement different forms of querying

Implement facetting

Implement auto-completion

Index data into Elasticsearch/Opensearch including using bulk API

Writing a focused crawler/scrapper to populate your search index

Requirements

Minimal programming capabilities

Understanding of data, data structures and querying

Minimal Java knowledge

Minimal frontend knowledge (html, css, javascript)

Description

With this course you will gain an in depth understanding of how a search engine works and how to implement it using Elasticsearch (or it's fork: OpenSearch). Not only will you learn the theory behind search and analytics, but we will also go through, step by step, how to concretely implement these concepts in ElasticSearch.We will explore many topics around search and you will learn to setup your own search engine with advanced capabilities such as full text search, live auto-completion, content recommendation, geo-spatial data querying.From a practical perspective we will:properly setting up our analyzersimplement different forms of data extraction and indexing into Elasticexplore Elastic's numerous querying capabilities, including full text searchexplore Elastic's numerous analytics capabilities, in particular aggregationbuild a faceted search engine in Javaexplore Geo-Spatial queryingsee how to properly configure our search engine for scalabilityAfter this course, these topics will no longer be mysterious and you'll have the fundamental understanding allowing you to efficiently implement them. Furthermore, have this understanding will open the door to the world's not only of search, but also high volume data analytics, and artificial intelligence, as they share common mathematical backgrounds.This course is not just about learning a technology, Elasticsearch, but also about building a strong background to use it properly.

Overview

Section 1: Basics

Lecture 1 Introduction

Lecture 2 Hands-on: Setup

Lecture 3 Search Basics

Lecture 4 Hands-on: Our First Index

Section 2: Analysis

Lecture 5 Document Analysis: Making Our Content Searchable

Lecture 6 Hands-on: Let's add different analyzers

Lecture 7 Advanced doc analysis

Lecture 8 Hands-on: Studying analysis options

Lecture 9 Indexing

Lecture 10 Hands-on: Let's add some content

Section 3: Searching

Lecture 11 How scoring works

Lecture 12 Hands-on: Scoring in practice

Lecture 13 Searching & Aggregating

Lecture 14 Hands-on: Let's search for stuff

Lecture 15 Joining Data

Lecture 16 Hands-on: Let's play with different joining options

Section 4: Collecting and indexing data

Lecture 17 Search engine indexing

Lecture 18 Hands-on: Let's build our crawler

Lecture 19 Index Management

Lecture 20 Hands-on: Let's improve our index management

Section 5: Building a search engine

Lecture 21 Search Engine API

Lecture 22 Hands-on: Let's build our search API

Lecture 23 Search Engine GUI

Lecture 24 Hands-on: Full search experience

Lecture 25 Bulk indexing

Lecture 26 Hands-on: Batching at work

Section 6: Final words

Lecture 27 Conclusion

Software developers in general even if this courses targets Java,Learners looking to go into depth in their understanding of search engines,Learners looking to mix knowledge and hands-on