Apache Flink Training
Using Apache Flink, a potent stream-processing framework, Apache Flink Training teaches participants how to create, implement, and oversee large-scale data processing applications. The training is crucial for effectively managing real-time data streams since it covers fault tolerance, stateful computations, event-driven processing, and real-time data analytics.
- 10+ Courses
- 30+ Projects
- 400 Hours
Apache Flink Training is suitable for the following target audiences:
Data Engineers: Data engineers are experts who want to improve their knowledge of stream analytics and real-time data processing.
Big Data Developers: Developers want experience with high-performance data applications and distributed computing.
Data scientists: Those who want to create machine learning models that use real-time data streams require Apache Flink for analytics and data preparation.
Software engineers: Engineers working on complex, data-intensive projects who wish to use Flink to implement real-time data solutions.
IT Managers: IT managers monitor data processing activities and try to get their teams to use state-of-the-art stream-processing frameworks.
Data Engineer: Using Flink to create and manage real-time data pipelines for ongoing analytics and processing.
Big Data Architect: Creating and refining massive data systems that use Flink to process data in batches and streams.
Real-time Data Analyst: Producing insights for decision-making in finance, telecommunications, and the Internet of Things by analysing real-time data streams.
Machine Learning Engineer: A machine learning engineer creates models that use streaming data to detect anomalies, make predictions in real-time, and more.
Software Engineer (Real-time Systems): Working on large-scale systems that need to process data in real-time settings with high throughput and low latency is what a software engineer specialising in real-time systems does.
Professionals with Apache Flink skills are especially needed in finance, e-commerce, telecommunications, and the Internet of Things. The USA and Canada provide reasonable pay and many prospects for career advancement in this field.
- 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
Data Engineer: Using Flink to create and manage real-time data pipelines for ongoing analytics and processing.
Big Data Architect: Creating and refining massive data systems that use Flink to process data in batches and streams.
Real-time Data Analyst: Producing insights for decision-making in finance, telecommunications, and the Internet of Things by analysing real-time data streams.
Machine Learning Engineer: A machine learning engineer creates models that use streaming data to detect anomalies, make predictions in real-time, and more.
Software Engineer (Real-time Systems): Working on large-scale systems that need to process data in real-time settings with high throughput and low latency is what a software engineer specialising in real-time systems does.
Professionals with Apache Flink skills are especially needed in finance, e-commerce, telecommunications, and the Internet of Things. The USA and Canada provide reasonable pay and many prospects for career advancement in this field.
