AWS OpenSearch for Rapid Data Analysis

Build a strong foundation in AWS OpenSearch by understanding its architecture, features, and core components. Learn how to provision, ingest data, scale, search, monitor, and troubleshoot OpenSearch clusters to support reliable and high performance search and analytics workloads.

aws-opensearch-for-rapid-data-analysis

Advanced

DevOps

5 Days

DevOps

devops

Online
On-site
Hybrid

AWS OpenSearch for Rapid Data Analysis

Build a strong foundation in AWS OpenSearch by understanding its architecture, features, and core components. Learn how to provision, ingest data, scale, search, monitor, and troubleshoot OpenSearch clusters to support reliable and high performance search and analytics workloads.

Duration:
5 Days
Rating:
4.8/5.0
Level:
Advanced
1500+ users onboarded

Who will Benefit from this Training?

Training Objectives

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • OpenSearch Foundations
    1. Apply opensearch foundations with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Cluster Setup
    1. Apply cluster setup with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Indexing and Ingestion
    1. Apply indexing and ingestion with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Search and Querying
    1. Apply search and querying with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Security and Access Control
    1. Apply security and access control with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Kibana Analytics
    1. Apply kibana analytics with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Monitoring and Troubleshooting
    1. Apply monitoring and troubleshooting with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Integrations
    1. Apply integrations with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Performance Optimization
    1. Apply performance optimization with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • HA and Disaster Recovery
    1. Apply ha and disaster recovery with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Migration from Elasticsearch
    1. Apply migration from elasticsearch with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards
  • Case Studies
    1. Apply case studies with AWS OpenSearch in practical DevOps workflows
    2. Complete hands-on labs with realistic scenarios
    3. Validate outcomes, logs, and failure modes
    4. Capture reusable patterns for team standards

Hands-on Experience with Tools

Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why this course

  • Powerful Search Capabilities: AWS OpenSearch provides robust search capabilities, allowing you to search and analyze large volumes of data efficiently.
  • Scalability and High Availability: OpenSearch is designed to scale horizontally, meaning you can easily handle increasing data volumes and query loads. This scalability ensures that your search infrastructure can grow with your business needs.
  • Seamless Compatibility with Elasticsearch: AWS OpenSearch is fully compatible with Elasticsearch, a popular open-source search engine. This compatibility means you can migrate existing Elasticsearch applications.

Training objectives

  • Gain a comprehensive understanding of AWS OpenSearch's features, architecture, and components.
  • Learn how to provision and configure OpenSearch clusters
  • Explore different methods to ingest data into OpenSearch, including integration with other AWS services
  • Master the search capabilities of OpenSearch
  • Learn how to scale OpenSearch clusters to handle increasing data volumes and query loads.
  • Explore monitoring and troubleshooting techniques for OpenSearch.

Who will benefit

  • Developers
  • DevOps Engineers
  • Data Engineers
  • Data Analysts
  • Solution Architects
  • Database Administrators
  • Data Scientists

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
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Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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