Apache Spark Training
Apache Spark Training 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 Hadoop by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Apache Spark Training is suitable for the following target audiences:
Data Engineers: Data engineers are experts in creating and streamlining workflows and data pipelines for big datasets.
Data Scientists: Data scientists use Spark for advanced analytics, data preparation, and scalable machine learning.
Software Engineers: Software engineers are programmers who create distributed systems or incorporate big data solutions into software applications.
Business Intelligence Analysts: These analysts want to use Spark to process queries and provide meaningful reports on big datasets quickly.
IT Professionals and Database Administrators: Database administrators and IT specialists are in charge of big data ecosystems and need Spark to increase the scalability and performance of data systems.
Big Data Engineer: Using Spark to design and manage scalable data pipelines for sectors including e-commerce, healthcare, and finance.
Data Scientist/Analyst: Using Spark in research-intensive professions to preprocess, analyze, and create machine learning models.
Big Data software developer: creating distributed apps by utilizing Spark’s APIs for processing and integrating data.
Cloud Engineer: Developing Spark-based data solutions on cloud computing platforms including Google Cloud, AWS, and Azure.
Business Intelligence Developer: Enhancing decision-making processes by optimizing data searches and analytics tools with Spark.
With competitive pay and chances for advancement in big data and analytics, industries like technology, finance, healthcare, and media in the USA and Canada actively seek for Spark specialists.
- 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: Using Spark to design and manage scalable data pipelines for sectors including e-commerce, healthcare, and finance.
Data Scientist/Analyst: Using Spark in research-intensive professions to preprocess, analyze, and create machine learning models.
Big Data software developer: creating distributed apps by utilizing Spark’s APIs for processing and integrating data.
Cloud Engineer: Developing Spark-based data solutions on cloud computing platforms including Google Cloud, AWS, and Azure.
Business Intelligence Developer: Enhancing decision-making processes by optimizing data searches and analytics tools with Spark.
With competitive pay and chances for advancement in big data and analytics, industries like technology, finance, healthcare, and media in the USA and Canada actively seek for Spark specialists.
