Complete Guide to Elasticsearch

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Offered byUDEMY

Complete Guide to Elasticsearch
at
UDEMY
Overview

This Course is a combination of theory and learning by doing. Before giving examples of how to perform certain queries, you will have been equipped with the necessary theory in advance. This ensures that you not only know how to write powerful Elasticsearch queries, but that you also understand the relevant theory. Throughout this tutorial, you will get a deep understanding of how Elasticsearch works under the hood.

Duration	12 hours
Total fee	₹449
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Complete Guide to Elasticsearch

Table of content

Overview
Highlights
Course Details
Curriculum
Faculty

Complete Guide to Elasticsearch
at
UDEMY
Highlights

Certificate will be issued after completion of course
30-Day Money-Back Guarantee

Complete Guide to Elasticsearch
at
UDEMY
Course details

Skills you will learn

Software Testing

Who should do this course?

Developers who want to learn Elasticsearch. The course is intended for developers and not system administrators.

More about this course

This course is an excellent way for you to quickly learn Elasticsearch and to put your knowledge to work in just a few hours! This online course is the most comprehensive Elasticsearch tutorial that you will find anywhere! It is a great starting point for anyone who wants to learn the Elastic Stack and ELK stack, as Elasticsearch is at the center of both stacks.

Complete Guide to Elasticsearch
at
UDEMY
Curriculum

Introduction

Understanding of the Elastic Stack

Guidelines for the course Q&A

Getting Started

Sharding and scalability

Understanding replication

Managing Documents

Creating & deleting indices

Indexing documents

Mapping& Analysis

Introduction to this section

Adding explicit mappings

Searching For Data

Introduction to term level queries

Retrieving documents by IDs

Joining Queries

Add departments test data

Querying parent by child documents

Controlling Query Results

Specifying the result format

Specifying the result size

Aggregations

Introduction to bucket aggregations

Nested aggregations

Improving Search Results

Affecting relevance scoring with proximity

Highlighting matches in fields

Complete Guide to Elasticsearch
at
UDEMY
Faculty details

Bo Andersen

currently work as the lead developer and partner at a startup company, apart from teaching here at Udemy. I have previously worked at a very successful company, operating one of the largest websites in Denmark, before deciding to teach software engineering. I have worked with programming for a decade and have a bachelor's degree in computer science. I started out learning to code by building websites in my spare time, and have since worked with many technologies such as Python.