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Elasticsearch Developer I Training

Classroom Enterprise Training

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Master skills to develop applications, search queries, perform text analysis, define mappings, perform aggregations, work with search results. Formulate and develop applications from a developer's perspective.

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Key Features
  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

PDP BG 1
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What is Elasticsearch Developer I about?

Master core concepts of Elasticsearch to develop search and analytics applications. Learn how to write search queries, perform text analysis, define mappings, perform aggregations and implement suggesters.

Gain practical working knowledge to develop Elasticsearch applications, solutions and search results as you learn with our certified instructors. Gain hands-on experience with our cloudlabs to perform various advanced bucket and metrics aggregations on the stocks index, run queries that involve controlling the results of searches using relevance boosting, sorting, and pagination, analyze API to see how the built-in analyzers work and write various queries that search documents using Search API queries like match, range and bool.

The course is designed to provide a hands-on experience to help you acquire essential skills to write various types of search queries.

Be industry ready to build search and analytics solutions using Elasticsearch in your organization.

What are the objectives of Elasticsearch Developer I ?

At the end of Elasticserach Developer training, you will be able 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

 Requirements (Classroom Training)

  • Laptop with connectivity to Wifi 
  • Mac, Linux OS, or Windows 7 or later
  • A modern web browser
  • A 64-bit JDK installed (Oracle JDK 1.8u60 or later, or OpenJDK 1.8.0.111 or later
  • At least 20% free disk space

Requirements (Virtual Classroom)

  • We require participants to download the latest version of Chrome or Firefox. (Safari isn’t 100% supported in the virtual environment)
  • The virtual classroom uses lots of JavaScript. We recommend that you disable any ad-blockers (some interfere with the virtual classroom) and that you restart your Web Browser before logging in.
  • Computer with a stable Internet connection
  • Mac, Linux OS, or Windows 7 or later
Available Training Modes

Classroom Training

 

2 Days
PDP BG 2

Who is Elasticsearch Developer I for?

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

What are the prerequisites for Elasticsearch Developer I?

  • No prior knowledge of Elasticsearch is required
  • Should be software developers familiar with programming concepts
  • Familiar with running commands from a command line or terminal 

Course Outline

  • 1. Introduction to Elasticsearch
    • The Story of Elasticsearch
    • The Components of Elasticsearch
    • Documents
    • Indexes
    • Indexing Data
    • Searching Data
    • The Bulk API
    • Hands-on Lab (30 minutes): Index a dataset, then search the data using Elasticsearch.
  • 2. The Search API
    • Introduction to the Search API
    • URI Searches
    • Request Body Searches
    • The match Query
    • The match_phrase Query
    • The range Query
    • The bool Query
    • Hands-on Lab (45 minutes): Write various queries that search documents using Search API queries like match, match_phrase, range and bool
  • 3. Text Analysis
    • What is Analysis?
    • Building an Inverted Index
    • Analyzers
    • Custom Analyzers
    • Character Filters
    • Tokenizers
    • Token Filters
    • Defining Analyzers
    • Synonyms
    • How to Choose an Analyzer
    • Segments
    • 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
  • 4. Mappings
    • What is a Mapping?
    • Dynamic Mappings
    • Defining Explicit Mappings
    • Adding Fields
    • Dive Deeper into Mappings
    • Specifying Analyzers
    • Dynamic Templates
    • Index Templates
    • Hands-on Lab (45 minutes): Define a custom mapping for a new index; use an index template to customize a mapping
  • 5. More Search Features
    • The Anatomy of a Search
    • Term-based Queries
    • Filters
    • The match_phrase_prefix Query
    • The multi_match_Query
    • Fuzziness
    • Highlighting
    • More Like This
    • 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
  • 6. The Distributed Model
    • Starting a Node
    • Creating an Index
    • Starting a Second Node
    • Shards: Distribution of an Index
    • Distributing Documents
    • Replication
    • Split Brain
    • Other Node Types
    • Development vs. Production Mode
    • Hands-on Lab (30 minutes): Startup a multi-node cluster; see how documents indexed into Elasticsearch are not immediately available for searching.
  • 7. Working with Search Results
    • Relevance
    • Boosting Relevance
    • DFS Query-then-fetch
    • Sorting Results
    • Doc Values and Fielddata
    • Pagination
    • Scroll Searches
    • Choosing a Search Type
    • Hands-on Lab (30 minutes): Run queries that involve controlling the results of searches using relevance boosting, sorting, and pagination
  • 8. Aggregations
    • What are Aggregations?
    • Types of Aggregations
    • Buckets and Metrics
    • Common Metrics Aggregations
    • The range Aggregation
    • The date_range Aggregation
    • The terms Aggregation
    • Nesting Buckets
    • Hands-on Lab (45 minutes): Perform various metrics and bucket aggregations on the products index and also on some stock market trade data
  • 9. More Aggregations
    • Global Aggregation
    • The missing Aggregation
    • Histograms
    • Date Histograms
    • Percentiles
    • Top Hits
    • Significant Terms
    • Sorting Buckets
    • Hands-on Lab (45 minutes): Perform various advanced bucket and metrics aggregations on the stocks index
  • 10. Handling Relationships
    • The Need for Data Modeling
    • The Need for Nested Types
    • Nested Types
    • Querying a Nested Type
    • Sorting on a Nested Type
    • The Nested Aggregation
    • Parent/Child Types
    • The has_child Query
    • The has_parent Query
    • Hands-on Lab (30 minutes): Define and use a nested mapping type and a parent/ child mapping type

Who is the instructor for this training?

The trainer for this Elasticsearch Developer I Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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Elasticsearch Developer I Training - Certification & Exam

SpringPeople is Official Training Partners of Elastic. 

Click here to download course outline 

You will receive an email 48 hours prior to the start of the course with detail instructions on how to access/download materials on our training portal. Materials will be available for two months which are accessible through training@elastic.co

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