Elasticsearch Scales And Distributes

Elasticsearch Engineer I Training

Understand how Elasticsearch scales and distributes data across a cluster,including details on shards, distributed search concepts and sample architectures. We take you to deeper into searching data with a discussion on the multi_match query, configuring fuzziness for dealing with misspelled words, how to highlight matched search terms in a response and how to perform .

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Elasticsearch Engineeri Training UpComing Batches

Nov-19 - Dec-31

Weekend
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Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Nov-12 - Dec-24

Weekday
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Timings: 20:30 PM To 23:30 PM (IST)

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Nov-23 - Jan-04

Weekend
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Timings: 07:00 AM To 10:00 AM (IST)

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Nov-30 - Jan-11

Weekday
FILLING FAST

Timings: 20:30 PM To 23:30 PM (IST)

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Dec-07 - Jan-18

Weekend

Timings: 07:00 AM To 10:00 AM (IST)

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Dec-14 - Jan-25

Weekday

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now
Be future ready. Start learning
Structure your learning and get a certificate to prove it.
Start Learning

Course Curriculum

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Elasticsearch Engineer I Training

SELF PACED

Understand how Elasticsearch scales and distributes data across a cluster,including details on shards, distributed search concepts and sample architectures. We take you to deeper into searching data with a discussion on the multi_match query, configuring fuzziness for dealing with misspelled words, how to highlight matched search terms in a response and how to perform .

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Self Paced
Topics:
  • Learn how Elasticsearch and the components of the Elastic Stack work together to solve a myriad of use cases and real-world problems.
  • Hands-on Lab.
Topics:
  • Learn how to install Elasticsearch and how to get data in and out.
  • Hands-on Lab.
Topics:
  • Learn how to write and submit queries and how the scoring and relevance of matching documents is calculated.
  • Hands-on Lab.
Topics:
  • 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.
  • You will also learn how Elasticsearch mappings are used to define how your documents and fields are stored and indexed, including how to define multi-fields and custom analyzers.
  • Hands-on Lab.
Topics:
  • We take a deeper dive into searching data with a discussion on the multi_match query.
  • Configuring fuzziness for dealing with misspelled words.
  • How to highlight matched search terms in a response?
  • How to perform common tasks when working with search results like sorting and pagination?
  • Hands-on Lab.
Topics:
  • Understand how Elasticsearch scales and distributes data across a cluster, including details on shards, distributed search concepts and sample architectures.
  • Hands-on Lab.
Topics:
  • Learn to understand the health of your cluster and diagnose health issues, as well as allocate shards and diagnose shard issues.
  • Hands-on Lab.
Topics:
  • We discuss aggregations in detail, including 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.
Topics:
  • Learn the various techniques used to secure your Elasticsearch clusters.
  • Hands-on Lab.
Topics:
  • We look at some of the best practices when moving your cluster and applications into production, including aliases, templates and how to backup and restore a cluster.
  • Hands-on Lab.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Curriculum

Projects

How will I execute the practicals of Kubernetes certification course?

All the Case Studies and Demos will run on Ubuntu 17.10 VMs. The pre-built VMs and their Installation Guide will be present on LMS once you enroll for the course.Kubernetes is an open-source tool therefore anybody can use it for their lab exercises.

What are the system requirements for this course?

Hardware Requirement(s):- Memory–Minimum 16 GB RAM, processor – Intel Core i5 CPU @2.00 GHz or above, Storage – 250 GB HDD/SDD or above, Software Requirement(s):- Operating System – Windows 7 or above, Ubuntu 14 or above, Latest Version of Oracle Virtual Box Installed, Windows PowerShell 4.0 or above (Install Azure Module), Microsoft Azure SDK for .NET v2.9 (prefer latest).

How will I execute the practicals of Kubernetes certification course?

The system requirements include Minimum 4 GB RAM, i3 processor or above, 20 GB HD.

Course Description

About The Course
What is Elasticsearch Engineer I Certification Training About? Elasticsearch Engineer I training uses authorized course content developed by Elastic and will be delivered by Elastic Certified Instructor. This instructor-led course provides a strong foundation for getting started with Elasticsearch. It covers how to deploy and manage Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. You will learn how to install, configure, manage and secure Elasticsearch clusters, as well as how to troubleshoot issues you may encounter along the way.
Objectives Of Our Online PySpark Training Course
What are the objectives of Elasticsearch Engineer I Certification Training ? You will also explore the inner workings of Elasticsearch and gain insight into queries, analyzers, mappings and aggregations as you learn to work with search results. After completing this course, you will be well on your way to becoming an Elastic Certified Engineer.
Topics Covered-:
  • Elastic Stack Overview.
  • Getting Started with Elasticsearch.
  • Querying Data.
  • Text Analysis and Mappings.
  • The Distributed Model.
  • Troubleshooting Elasticsearch.
  • Improving Search Results.
  • Aggregating Data.
  • Securing Elasticsearch.
  • Best Practices.
Go For Online Spark Training
Who is Elasticsearch Engineer I Certification Training for?
  • Software Developers and Engineers.
  • Data Architects.
  • System Administrators.
  • DevOps.
Learning With Our PySpark Certification Training
What are the prerequisites for Elasticsearch Engineer I Certification Training? Prerequisites-:No prior knowledge of Elasticsearch required.
Requirements-:
  • Mac, Linux, or Windows.
  • Latest version of Chrome or Firefox (Safari is not 100% supported).
  • Stable internet connection (virtual classroom).
  • Due to virtual classroom JavaScript requirements.
  • We recommend that you disable any ad-blockers and restart your browser before class.

Course Certification

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Features

Explore step by step paths to get started on your journey to Jobs of Today and Tomorrow.

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.

Assignments

Assignments

Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Certification

Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

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