Building a Search Server with Elasticsearch

Building a Search Server with Elasticsearch, available at $34.99, has an average rating of 3.8, with 21 lectures, based on 75 reviews, and has 750 subscribers.

You will learn about Ingest real data into your index and create a working Elasticsearch cluster Categorize different types of data automatically with Elasticsearch and manage them effectively Work with a variety of queries and learn how and when to use them correctly Implement exciting features that help you search and highlight data Build custom search filters that help you with advanced data search Get to grips with the best practices for separating out the structure of an AngularJS application into its various components Add a bit more to your search server by applying relevancy tuning and addressing security concerns This course is ideal for individuals who are If you are a web developer who is looking to make your content more discoverable, this is the course for you. It is particularly useful for If you are a web developer who is looking to make your content more discoverable, this is the course for you. .

Enroll now: Building a Search Server with Elasticsearch

Summary

Title: Building a Search Server with Elasticsearch

Price: $34.99

Average Rating: 3.8

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will Learn

Ingest real data into your index and create a working Elasticsearch cluster

Categorize different types of data automatically with Elasticsearch and manage them effectively

Work with a variety of queries and learn how and when to use them correctly

Implement exciting features that help you search and highlight data

Build custom search filters that help you with advanced data search

Get to grips with the best practices for separating out the structure of an AngularJS application into its various components

Add a bit more to your search server by applying relevancy tuning and addressing security concerns

Who Should Attend

If you are a web developer who is looking to make your content more discoverable, this is the course for you.

Target Audiences

If you are a web developer who is looking to make your content more discoverable, this is the course for you.

This course will give you the tools you need to create your own custom search application. Throughout this course, youll 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, well 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.

About the Author

Daniel Beach is a search architect, specializing in client-side application development. He works at Opensource Connections where he has built search applications for organizations ranging from publishers to government agencies.

Course Curriculum

Chapter 1: Getting Started with Elasticsearch

Lecture 1: Course Objectives

Lecture 2: Getting Started

Lecture 3: Installing and Configuring Elasticsearch

Chapter 2: Data Ingestion

Lecture 1: Ingesting the Initial Document

Lecture 2: Assigning Field Types

Lecture 3: Advanced Ingestion Topics

Chapter 3: Querying Elasticsearch

Lecture 1: Basic Query Types

Lecture 2: Specialized Query Types

Lecture 3: Combining Queries

Chapter 4: Connecting Elasticsearch to Our Application

Lecture 1: Application Structure

Lecture 2: Displaying Results

Lecture 3: Searching

Chapter 5: The Advanced Search Functionality

Lecture 1: Highlighting

Lecture 2: Sorting

Lecture 3: Aggregations

Chapter 6: Adding the Autocomplete Functionality

Lecture 1: Term Suggestions

Lecture 2: Phrase Suggestions

Lecture 3: Autocomplete with Results

Chapter 7: Finishing Up

Lecture 1: Relevancy Tuning

Lecture 2: Deployment

Lecture 3: Security

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 12 votes

2 stars: 4 votes

3 stars: 16 votes

4 stars: 24 votes

5 stars: 19 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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