Elasticsearch Developer

Live Online & Classroom Certification Training

Gain an in depth understanding of Elasticsearch and develop core skills to develop applications, search queries, perform text analysis, define mappings, perform aggregations, work with search results. Formulate and develop applications through a developer's perspective.

(0.0)
Instructed by SPRINGPEOPLE
INDIA

No Public/Open-house class on the topic scheduled at the moment!

Course Description

Overview

Master core concepts of Elasticsearch to develop search and analytics applications. Write search queries, perform text analysis, define mappings, perform aggregations, work with search results, and implement suggesters. Gain core skills to develop Elasticsearch applications, solutions, search results, be able to analyze the distributed model of Elasticsearch and use aggregations to analyze the data. The course is designed to provide a hands-on experience to help you acquire essential skills to write various types of search queries.

Be the Elasticsearch developer your organisation needs.

Suggested Audience

This course is designed for software developers and engineers who are keen on gaining the skillsets to be an Elasticsearch developer.

 

Objective

The Elasticsearch Data Modelling training course enables you to:

  • Develop Elasticsearch applications and solutions
  • Familiarize with the details of text analysis and how to define mappings
  • Use aggregations to analyze the data
  • Gain a holistic understanding of the distributed model of Elasticsearch
  • Write queries,define mappings and custom text analyzers
  • Implement autocomplete and “did you mean” suggesters
  • Sort and paginate search results

Prerequisites

No prior knowledge of Elasticsearch is required, however it is beneficial to have an experience with the programming concepts. It is also recommended to be familiar with running commands from a command line or terminal.

Course Curriculum

Expand All
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 index

Certification

SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.

 

Resources

About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More


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The prerequisites should be given for the students before the class will improve the students participation more. And following the course structure is essential .

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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