Hadoop Yarn Training
Hadoop Yarn Course Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Big Data by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Hadoop Yarn Training is suitable for the following target audiences:
Big Data Developers: Experts creating big data solutions who require knowledge of resource management and Hadoop cluster application performance optimization.
Data Engineers: Data engineers are in charge of creating and overseeing data pipelines and workflows; they need to be proficient in task execution and distributed resource management.
System Administrators: System administrators are IT managers who oversee and maintain Hadoop clusters, making sure that resources are allocated effectively and resolving problems connected to YARN.
Data Scientists and Analysts: Professionals who work with big datasets and are interested in learning how YARN plans and carries out data processing operations in a distributed setting are known as data scientists and analysts.
IT managers and decision-makers: Executives in charge of big data initiatives who wish to learn more about YARN’s benefits and capabilities for resource optimization.
Big Data Engineer: Create and oversee extensive data workflows and pipelines, utilizing Hadoop YARN for task execution and resource management.
Data Architect: Create and enhance data infrastructure for effective data processing and storage by utilizing Hadoop and YARN.
Hadoop Administrator: Oversee Hadoop clusters, keep an eye on resource distribution using YARN, and address performance problems.
Data Scientist: To effectively execute distributed machine learning and data processing operations on huge datasets, use YARN.
Cloud Engineer: Utilize YARN to efficiently manage dispersed computing resources while working with cloud-based big data solutions.
Software Developer: Create and refine Hadoop YARN-compatible apps for processing large amounts of data in a scalable manner.
These positions are highly sought after in a variety of sectors, including government, retail, healthcare, banking, and technology. In the big data space, proficiency with Hadoop YARN is a valued asset due to its competitive pay and prospects for professional advancement.
- 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
Big Data Engineer: Create and oversee extensive data workflows and pipelines, utilizing Hadoop YARN for task execution and resource management.
Data Architect: Create and enhance data infrastructure for effective data processing and storage by utilizing Hadoop and YARN.
Hadoop Administrator: Oversee Hadoop clusters, keep an eye on resource distribution using YARN, and address performance problems.
Data Scientist: To effectively execute distributed machine learning and data processing operations on huge datasets, use YARN.
Cloud Engineer: Utilize YARN to efficiently manage dispersed computing resources while working with cloud-based big data solutions.
Software Developer: Create and refine Hadoop YARN-compatible apps for processing large amounts of data in a scalable manner.
These positions are highly sought after in a variety of sectors, including government, retail, healthcare, banking, and technology. In the big data space, proficiency with Hadoop YARN is a valued asset due to its competitive pay and prospects for professional advancement.
