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Building a Search Server with Elasticsearch
Rating: 3.7 out of 5(76 ratings)
756 students

Building a Search Server with Elasticsearch

Build a fully featured and scalable search UI with Elasticsearch.
Last updated 5/2015
English

What you'll 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

Course content

7 sections21 lectures1h 53m total length
  • Course Objectives1:38
    Introduction to the course with an outline.
  • Getting Started3:30
    What is Elasticsearch?
  • Installing and Configuring Elasticsearch5:26
    Understand how to install Elasticsearch and know how to configure Elasticsearch clusters if you have to deviate from Elasticsearch defaults.

Requirements

  • A basic understanding of JavaScript will help you grasp the functionalities of the application built with Elasticsearch and AngularJS in this course.

Description

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.

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.

Who this course is for:

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