Building a Search Server with Elasticsearch
Course
Online
Description
-
Type
Course
-
Methodology
Online
-
Start date
Different dates available
Build a fully featured and scalable search UI with Elasticsearch.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 AuthorDaniel 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.
Facilities
Location
Start date
Start date
About this course
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
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 6 years
Subjects
- Ms Word
- Install
- Works
- Javascript
- Server
- Javascript training
- Word
Course programme
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Elasticsearch: Introduction
- Elasticsearch: Architecture
- Client-side JavaScript apps
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Download Elasticsearch and understand the folder structure
- Start up the first Elasticsearch node and determine the number of nodes
- Set the correct memory size and understand when to upgrade
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Learn how Elasticsearch works with JSON documents, and create an index and document type
- See what happens when you specify a version that has already been updated
- Use versions as a tool to eliminate document regression
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Elasticsearch automatically evaluates the fields of your document and determines their field type
- Use Elasticsearch’s generated mappings as a starting point to specify your own
- Iteratively test and improve until you are satisfied
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
- Text analysis and stemming allow your content to be searchable by multiple word permutations
- Multifields give you the power to index the same field in multiple ways
- Document routing lets you group similar documents within the same shard. Batch ingestion lets you index large lists of documents at the same time
Additional information
Building a Search Server with Elasticsearch
