Cloudera Spark Training
Cloudera Spark Training Online by Checkmate IT Tech is your chance to learn Spark with Cloudera’s trusted curriculum enabling you to manage massive datasets and perform complex analytics with ease. The training covers all you need to master data processing, machine learning, and real-time analytics. Enroll today and start building the skills to become a Spark expert!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Engineers: Designed for data engineers who wish to improve their abilities to handle and process big datasets on Cloudera’s platform using Spark.
Data Scientists: Perfect for data scientists who want to use Spark to apply data analytics and machine learning methods for effective, large-scale calculations.
Big Data Analysts: Designed for big data analysts who wish to use Spark to visualize and analyze massive amounts of data in order to get new insights and make better decisions.
IT Professionals in Data Roles: Designed for developers and IT professionals in data-intensive settings who wish to use Apache Spark for large data and real-time processing.
Business Intelligence (BI) Analysts: Designed for BI analysts who want to get better at real-time analytics and data integration for BI applications.
Big Data Engineer: In charge of creating and refining big data architectures and pipelines.
Data Scientist: Using Spark’s advanced analytics and machine learning capabilities to extract insights from massive datasets.
Data Engineer: concentrating on using Spark for data processing, transformation, and ingestion in a Cloudera setting.
ETL Developer: Supporting data warehousing by leveraging Spark for effective data extraction, transformation, and loading procedures.
Business Intelligence Engineer: Supporting BI solutions by utilizing Spark for quick data processing and real-time analytics.
This training is an excellent tool for job progression because sectors including banking, technology, healthcare, and retail in the USA and Canada are actively looking for workers with Spark experience to manage big data projects and support data-driven strategies.
- 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
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Job opportunities in USA and Canada
Big Data Engineer: In charge of creating and refining big data architectures and pipelines.
Data Scientist: Using Spark’s advanced analytics and machine learning capabilities to extract insights from massive datasets.
Data Engineer: concentrating on using Spark for data processing, transformation, and ingestion in a Cloudera setting.
ETL Developer: Supporting data warehousing by leveraging Spark for effective data extraction, transformation, and loading procedures.
Business Intelligence Engineer: Supporting BI solutions by utilizing Spark for quick data processing and real-time analytics.
This training is an excellent tool for job progression because sectors including banking, technology, healthcare, and retail in the USA and Canada are actively looking for workers with Spark experience to manage big data projects and support data-driven strategies.
