$121.95 – $157.50

Elastics Search Developer Training

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Agilitcs Pte. Ldt. Noida

G-284 sector 63

sector 63

Noida, Uttar Pradesh 201301

India

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Description

Elastics Search Developer

Overview

This hands-on, instructor-led in-classroom course is

designed for software developers and engineers who need to develop

search and analytics applications using Elasticsearch. Students learn the

internals of Elasticsearch from a developer’s perspective, including how

to write search queries, perform text analysis, define mappings, perform

aggregations, work with search results, and implement suggesters. Upon

finishing this course, you will receive a Certificate of Completion.

Audience

This course is designed for software developers and engineers who need to

build search and analytics solutions using Elasticsearch.

Duration (Classroom Training)

2 Day | Class is scheduled from 9 a.m. to 5 p.m.

Language

English

Prerequisites

No prior knowledge of Elasticsearch is required

Students should be software developers familiar with programming

concepts

Students should be familiar with running commands from a command

line or terminal

Requirements (Classroom Training)

Laptop with connectivity to Wifi

Mac, Linux OS, or Windows 7 or later

A modern web browser

Java version 1.8u20 or later installed

At least 20% free disk space

Modules

Introduction to Elasticsearch

Learn about Elasticsearch and Lucene, the components of Elasticsearch, and

how to index documents using the REST and Bulk APIs

Hands-on Lab (30 minutes): Index a dataset, then search the data using

Elasticsearch.

The Search API

Learn how to write and submit queries, how the scoring and relevance of

matching documents is calculated, and how to boost relevance at query time

Hands-on Lab (45 minutes): Write various queries that search documents

using Search API queries like match, range and bool

Text Analysis

We walk through the details of how full text is analyzed and indexed in

Elasticsearch, including a discussion of the various analyzers and filters and

how to configure them

Hands-on Lab (45 minutes): Perform the steps for configuring text analysis

in Elasticsearch; use the Analyze API to see how the built-in analyzers work;

define custom analyzers by configuring character filters, tokenizers and token

filter

Mappings

Learn how Elasticsearch mappings are used to define how your documents

and fields are stored and indexed, including how to define multi-fields, custom

analyzers, and index templates

Hands-on Lab (45 minutes): Define a custom mapping for a new index; use an

index template to customize a mapping


More Search Features

Learn how Elasticsearch mappings are used to define how your documents

and fields are stored and indexed, including how to define multi-fields, custom

analyzers, and index templates

Hands-on Lab (45 minutes): See how a terms query works in Elasticsearch;

write multi_match and more_like_this queries; see how the fuzziness parameter

works and how to highlight search terms

The Distributed Model

Understand how Elasticsearch scales and distributes data across a cluster,

including a discussion on shards, how to startup a multi-node cluster, and how

data replication works in Elasticsearch

Hands-on Lab (30 minutes): Startup a multi-node cluster and see how

documents indexed into Elasticsearch are distributed across shards in the

cluster

Working with Search Results

Learn how to perform common tasks when working with search results like

sorting, pagination, and performing scroll searches

Hands-on Lab (30 minutes): Run queries that involve controlling the results of

searches using relevance boosting, sorting, and pagination

Suggesters

Learn how to provide autocomplete suggestions for users, as well as “did you

mean” suggestions when users misspell terms in their queries

Hands-on Lab (30 minutes): Implement a “did you mean” and autocomplete

solution using suggesters

Aggregations

An introduction to aggregations, including a discussion the different types of

aggregations, how to perform metric and bucket aggregations, and details on

how to use some of the more common aggregations

Hands-on Lab (45 minutes): Perform various metrics and bucket aggregations

on the products index and also on some stock market trade data

More Aggregations

We take a deeper dive into aggregations and discuss scope, using post_filter

for faceting, creating histograms, finding the top hits of an aggregation, and an

example of the significant terms aggregation

Hands-on Lab (45 minutes): Perform various advanced bucket and metrics

aggregations on the stocks in

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Date and Time

Location

Agilitcs Pte. Ldt. Noida

G-284 sector 63

sector 63

Noida, Uttar Pradesh 201301

India

View Map

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