Elasticsearch Training
The main goal of Elasticsearch Training is to instruct participants in efficiently using Elasticsearch, a potent distributed search and analytics tool. The program covers fundamental skills such as Elasticsearch cluster setup and management, indexing, searching, and data aggregation. It is perfect for data-heavy applications because it teaches participants how to manage massive amounts of data and develop scalable search solutions.
- 10+ Courses
- 30+ Projects
- 400 Hours
Elasticsearch Training is suitable for the following target audiences:
Software developers: Developers who must use Elasticsearch to incorporate robust search features into applications.
Data Engineers: Data engineers are experts in data processing and analysis who want to use Elasticsearch to index and search data in real-time.
System Administrators: System administrators, who are IT specialists, are responsible for deploying, managing, and upkeep of Elasticsearch clusters.
Business analysts: These analysts must use Elasticsearch to quickly and effectively retrieve data and extract insights from massive databases.
IT consultants: Consultants that want to provide clients in various industries with search and analytics solutions.
Elasticsearch Developer: An Elasticsearch developer is responsible for designing, creating, and managing applications with integrated Elasticsearch features.
Data Engineer: Elasticsearch is used for real-time analytics, data indexing, and searching in big data systems.
Site Reliability Engineer (SRE): Site Reliability Engineers (SREs) manage elastic search clusters to provide high availability and performance.
Big Data Analyst: Assisting organizations in making data-driven decisions by processing, searching, and analyzing large amounts of data using Elasticsearch.
Search Architect: Creating and putting reliable search solutions for enterprise apps, e-commerce, and other uses into practice.
In the USA and Canada, businesses in industries including technology, e-commerce, banking, and healthcare are actively looking for Elasticsearch-savvy workers. These companies provide competitive pay and chances for career advancement in data management and analytics.
- Agile Overview
- Agile Manifesto & Principles
- Agile vs. Traditional (Waterfall) Approaches
- Scrum, Kanban, XP – overview of frameworks
- Role of a Business Analyst in Agile BA responsibilities in Agile teams
- Collaboration with Product Owner, Scrum Master, Dev Team
- Scrum Deep Dive
- Roles, Events, Artifacts
- Product Backlog, Sprint Planning, Review, and Retrospective
- Kanban Basics (WIP limits, continuous flow)
- Scaling Agile (SAFe, LeSS, Nexus) – intro level
- Tools included : Jira / Trello setup basics
- Gathering Requirements in Agile
- Just-in-time requirements
- Collaborative discovery
- User Stories & Acceptance Criteria
- INVEST criteria and Definition of Ready / Done
- Story Mapping & Backlog Grooming
- Jira / Confluence Training
- Backlog creation, story linking, boards
- Wireframing & Prototyping
- Tools: Balsamiq / Figma / Draw.io
- Facilitation Techniques
- Agile workshops (Story Mapping, Impact Mapping)
- Agile Planning Levels (Roadmap, Release, Sprint planning)
- Estimation Techniques (Planning Poker, T-Shirt sizing)
- Prioritization Methods (MoSCoW, Kano Model, WSJF)
- Performance Metrics (Velocity, Burnup/Burndown charts , Lead/Cycle Time)
- BA Contribution Metrics (Requirements churn, value tracking)
- How to create and maintain Dashboards in Jira
- Case Study: Analyse sprint reports & suggest improvements
- Stakeholder Management
- Effective Communication
- Facilitation & Conflict Resolution
- Agile Project Simulation End-to-end product backlog creation
- Resume Building for Agile BA
- Mock Interviews & Job Placement
This course is ideal for aspiring Business Analysts, working professionals transitioning to Agile roles, Product Owners, Project Managers, and anyone interested in Agile practices and business analysis.
No technical background is required. The course is designed to help non-technical individuals understand Agile concepts and tools in a practical, easy-to-follow manner.
The duration for Agile Business Analyst training is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech. We also guide you on pursuing global certifications like IIBA-AAC and ICAgile-BA.
Absolutely! The course includes hands-on exercises, case studies, and a capstone project to simulate real Agile environments.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
Elasticsearch Developer: An Elasticsearch developer is responsible for designing, creating, and managing applications with integrated Elasticsearch features.
Data Engineer: Elasticsearch is used for real-time analytics, data indexing, and searching in big data systems.
Site Reliability Engineer (SRE): Site Reliability Engineers (SREs) manage elastic search clusters to provide high availability and performance.
Big Data Analyst: Assisting organizations in making data-driven decisions by processing, searching, and analyzing large amounts of data using Elasticsearch.
Search Architect: Creating and putting reliable search solutions for enterprise apps, e-commerce, and other uses into practice.
In the USA and Canada, businesses in industries including technology, e-commerce, banking, and healthcare are actively looking for Elasticsearch-savvy workers. These companies provide competitive pay and chances for career advancement in data management and analytics.
