Video Description
Build a fully featured and scalable search UI with Elasticsearch
About This Video
Start building your own search engine with Elasticsearch, from setup to ingestion and querying
Set up an Elasticsearch cluster and a full search interface in AngularJS, all in one comprehensive project
Implement search features such as highlighting, filters, and autocomplete, and build a robust search engine
In Detail
As the amount of available data continues to grow worldwide, successful search experiences are increasingly becoming a major competitive advantage. The best content in the world is useless if it isn't easy to find. Elasticsearch is a powerful and well-designed search engine used to build custom search applications that allow users to quickly find the relevant information from their application or website.
This course will give you the tools you need to create your own custom search application. Throughout this course, you'll see how rewarding Elasticsearch can be to work with and how to use it to build a real search application complete with results, highlighting, filters, and autocomplete.
Starting with an introduction to Elasticsearch and client-side applications, we'll then move on to learn how Elasticsearch automatically classifies field types, and what to do if they need to be overridden. We will also cover many of the query types that Elasticsearch provides to return results for our AngularJS application. Once we have some basic results, we will add filters (called aggregations in Elasticsearch) to make it easy for users to narrow down the results to a specific topic. Then we will cover how to implement autocomplete and highlighting, and ultimately wrap up with an overview of deployment and security.
This course will equip you with the tools that you need to craft rich search interfaces that deliver great results to your users.
Table of Contents
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Chapter 1 : Getting Started with Elasticsearch
- Course Objectives 00:01:38
- Getting Started 00:03:31
- Installing and Configuring Elasticsearch 00:05:27
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Chapter 2 : Data Ingestion
- Ingesting the Initial Document 00:04:02
- Assigning Field Types 00:05:13
- Advanced Ingestion Topics 00:05:05
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Chapter 3 : Querying Elasticsearch
- Basic Query Types 00:06:48
- Specialized Query Types 00:04:32
- Combining Queries 00:02:07
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Chpater 4 : Connecting Elasticsearch to Our Application
- Application Structure 00:03:26
- Displaying Results 00:08:10
- Searching 00:11:34
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Chapter 5 : The Advanced Search Functionality
- Highlighting 00:03:55
- Sorting 00:04:18
- Aggregations 00:16:36
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Chapter 6 : Adding the Autocomplete Functionality
- Term Suggestions 00:03:33
- Phrase Suggestions 00:07:45
- Autocomplete with Results 00:04:57
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Chapter 7 : Finishing Up
- Relevancy Tuning 00:04:44
- Deployment 00:03:21
- Security 00:02:30