In Elasticsearch Engineer II Training

Elasticsearch Engineer II Training

Master in managing a cluster, including how to configure shard filtering, shard allocation awareness and forced awareness. In Elasticsearch Engineer II training Learn about designing for scale, scaling with replicas, scaling with Indices,capacity planning use cases and working with time-based data.

80% of Global Fortune 500 organizations are expected to adopt DevOps by 2021 – CA.

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Elasticsearch Engineerll Training UpComing Batches

Nov-22 - Jan-03

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

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Nov-15 - Dec-27

Weekday
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Dec-04 - Jan-15

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Dec-11 - Jan-22

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

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Dec-18 - Jan-29

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

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Dec-25 - Feb-05

Weekday

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

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

Elasticsearch Engineer II Training

SELF PACED

Master in managing a cluster, including how to configure shard filtering, shard allocation awareness and forced awareness. In Elasticsearch Engineer II training, Learn about designing for scale, scaling with replicas, scaling with Indices,capacity planning use cases and working with time-based data.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Self Paced

Topics:
  • Learn how to Design and Model the fields in your Documents.
  • Including Discussions on Granular fields.
  • Range Types.
  • Dealing with large field Cardinality and Designing for proximity matching.
  • Hands-on Lab.

Topics:
  • Learn how to use the new Painless scripting language in Elasticsearch.
  • Discuss use cases for Scripting, Including the Reindex.
  • Update By Query and Delete By Query APIs.
  • Hands-on Lab.

Topics:
  • We Discuss Denormalizing Documents.
  • Working with nested fields and using the join field for parent/child relationships.
  • Hands-on Lab.

Topics:
  • Learn some of the advanced search and aggregation techniques, including cross cluster search and pipeline aggregations.
  • Hands-on Lab.

Topics:
  • We walk through the details of managing a cluster, including how to configure shard filtering.
  • Shard Allocation Awareness and Forced Awareness.
  • Hands-on Lab.

Topics:
  • Learn about designing for scale, scaling with replicas, scaling with Indices, capacity planning use cases and working with time-based data.
  • Hands-on Lab.

Topics:
  • Take a deep dive into how Elasticsearch works, including the details of Apache Lucene, segments, doc values and caching.
  • Hands-on Lab.

Topics:
  • We discuss of monitoring options, including the Stats API
  • Task Monitoring.
  • The Cat API.
  • The X-Pack Monitoring component and guidelines for monitoring a cluster and setting up alerts.
  • Hands-on Lab.

Topics:
  • We explore items to consider when moving to production.
  • Including Network Setup.
  • Hardware Requirements.
  • JVM Settings and also a discussion on some of the common causes of poor query performance and how to fix them.
  • Hands-on Lab.

Program Syllabus

Curriculum

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

Projects

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.

What are the system requirements for this 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.

How will I execute the practicals of Kubernetes certification 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).

Course Description

Course Certification

OL Tech Edu’s Certificate Holders work at top 500s of companies like

certificate

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.

Course FAQ's

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