SQL, Spark And Hadoop Training
The goal of SQL, Spark, and Hadoop training is to give people the tools they need to handle, process, and evaluate big datasets. Hadoop is a framework for the distributed processing and storing of massive data sets, Spark is a quick and all-purpose big data processing engine, and SQL is used for querying and maintaining relational databases. People who receive this training are better equipped to manage challenging data issues on various platforms.
- 10+ Courses
- 30+ Projects
- 400 Hours
SQL, Spark And Hadoop Training is suitable for the following target audiences:
Data Analysts and Data Engineers: These professionals seek to improve their data management and processing abilities and analyze big datasets effectively using SQL, Spark, and Hadoop.
Software Engineers: Software engineers wish to work on scalable data processing solutions by expanding their knowledge of big data technology.
Professionals in business intelligence: Those who have developed their ability to query, interpret, and visualize massive datasets to use data to support business decision-making.
IT Administrators: IT administrators are experts in managing and optimizing distributed computing platforms like Hadoop and Spark as well as databases and other big data infrastructure.
Students and recent graduates: Those wishing to gain a foundational understanding of database administration and big data tools who are beginning their careers in data science or big data engineering.
Data Engineer: Using Spark and Hadoop to create and manage scalable data pipelines.
Creating software and solutions for handling and evaluating large datasets is known as “big data development.”
Data analyst: Utilizing big data platforms and SQL to query databases to derive valuable insights.
Business Intelligence Analyst: Business intelligence analysts use data analysis to help firms make well-informed decisions by offering actionable insights.
Database Administrator: Database administrators oversee and improve massive data infrastructures and relational databases.
These positions, which provide competitive pay and growth prospects in a data-driven world, are essential in various industries, including retail, healthcare, technology, and finance.
- 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
Data Engineer: Using Spark and Hadoop to create and manage scalable data pipelines.
Creating software and solutions for handling and evaluating large datasets is known as “big data development.”
Data analyst: Utilizing big data platforms and SQL to query databases to derive valuable insights.
Business Intelligence Analyst: Business intelligence analysts use data analysis to help firms make well-informed decisions by offering actionable insights.
Database Administrator: Database administrators oversee and improve massive data infrastructures and relational databases.
These positions, which provide competitive pay and growth prospects in a data-driven world, are essential in various industries, including retail, healthcare, technology, and finance.
