Apache Flume Training
Teaching learners how to effectively gather, compile, and transfer massive volumes of log data from several sources to a centralised data store like HDFS (Hadoop Distributed File System) is the main goal of Apache Flume Training. To ensure that participants can create and implement efficient data pipelines for real-time data input, the training covers Flume architecture, setup, installation, and the creation of custom sources, sinks, and channels.
- 10+ Courses
- 30+ Projects
- 400 Hours
Apache Flume Training is suitable for the following target audiences:
Data Engineers: Data engineers are experts in creating and managing data pipelines who seek to optimize their data intake procedures.
Big Data Developers: These developers are interested in integrating Apache Flume for data gathering and analysis, and they work with big datasets and Hadoop ecosystems.
System Administrators: IT managers overseeing extensive data infrastructure must be familiar with Flume to maximize resource usage and data flow.
IT Consultants: Data architects create extensive data architectures and ensure that information flows smoothly into data lakes or warehouses from various sources.
IT consultants: Consultants that offer data solutions to businesses and require knowledge of Apache Flume to handle real-time data ingestion efficiently.
Big Data Engineer: This position focuses on developing and refining data pipelines for big data applications, such as leveraging Flume for real-time data ingestion.
Data Integration Specialist: To guarantee adequate data flows, manage and integrate data from many sources using tools like Apache Flume.
Hadoop Administrator: Manage and keep Hadoop clusters up to date, including setting up Flume agents to make data gathering and ingestion easier.
Data Architect: Create and put into practice scalable data architectures that use Flume to handle data in real time.
Professionals with Apache Flume skills are in high demand in the USA and Canada due to the growing significance of real-time data collection and big data analytics in sectors like technology, e-commerce, healthcare, and finance. These positions offer excellent career opportunities and competitive salaries.
- 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: This position focuses on developing and refining data pipelines for big data applications, such as leveraging Flume for real-time data ingestion.
Data Integration Specialist: To guarantee adequate data flows, manage and integrate data from many sources using tools like Apache Flume.
Hadoop Administrator: Manage and keep Hadoop clusters up to date, including setting up Flume agents to make data gathering and ingestion easier.
Data Architect: Create and put into practice scalable data architectures that use Flume to handle data in real time.
Professionals with Apache Flume skills are in high demand in the USA and Canada due to the growing significance of real-time data collection and big data analytics in sectors like technology, e-commerce, healthcare, and finance. These positions offer excellent career opportunities and competitive salaries.
