In a world driven by data, organizations depend on professionals who can process, analyze, and extract valuable insights from massive datasets. Big Data has revolutionized how businesses make decisions, predict trends, and optimize operations. To help professionals harness this potential, DevOpsSchool’s Master in Big Data and Hadoop Course offers an in-depth, hands-on learning experience designed to build true data engineering expertise.
Why Learn Big Data and Hadoop?
As the volume, velocity, and variety of data grow exponentially, companies rely on Big Data tools like Hadoop to store, manage, and analyze data efficiently. Hadoop’s distributed computing model allows organizations to handle petabytes of data cost-effectively.
Key Benefits of Learning Big Data and Hadoop
- Scalable Data Processing: Manage and analyze massive data volumes across clusters.
- High Career Demand: Data engineers and Hadoop specialists are among the top-paying tech roles globally.
- Versatile Skill Application: Useful across industries like finance, healthcare, e-commerce, and IT.
- Open-Source Ecosystem: Work with powerful open-source technologies supported by an active community.
With the right training, professionals can design and manage data pipelines that power business intelligence, analytics, and AI applications.
About DevOpsSchool
DevOpsSchool is a recognized leader in IT training, certifications, and consulting services. With a strong presence in DevOps, Cloud, Data, and AI domains, it provides quality learning experiences for professionals across the globe.
The Big Data & Hadoop program is mentored by Rajesh Kumar, a globally renowned trainer with over 20 years of expertise in DevOps, DataOps, AIOps, SRE, MLOps, and Cloud technologies. His mentorship ensures a blend of conceptual clarity, hands-on exposure, and real-world project experience.
Course Overview
DevOpsSchool’s Master in Big Data and Hadoop Training is a comprehensive program crafted to help learners master data storage, analysis, and management using Hadoop and related technologies.
| Training Mode | Duration | Price (INR) | Features |
|---|---|---|---|
| Online Instructor-Led | 40+ hrs | 29,999 | Live sessions, hands-on labs, Q&A |
| Self-Learning (Video + LMS) | 30+ hrs | 14,999 | Lifetime access to LMS and training materials |
| Corporate/Custom Training | Flexible | Custom | Tailored for enterprise and team learning |
All training programs include hands-on labs, real-time projects, and industry-aligned exercises to build confidence in Big Data workflows.
Course Curriculum Highlights
The curriculum is designed to provide a 360° understanding of Big Data concepts and Hadoop components.
Core Modules
- Introduction to Big Data Ecosystem
- Hadoop Architecture and HDFS Concepts
- MapReduce Programming and Optimization
- YARN: Resource Management Framework
- Hive and Pig for Data Processing
- Sqoop and Flume for Data Ingestion
- HBase for NoSQL Data Storage
- Spark for Real-Time Data Processing
- Data Analytics and Visualization Techniques
- Integration with Cloud Platforms (AWS, Azure, GCP)
Tools and Frameworks Covered
- Hadoop
- Apache Spark
- Hive, Pig, and HBase
- Sqoop and Flume
- Kafka
- Python and R for Data Analytics
By the end of this course, learners will be able to manage large datasets, build efficient data pipelines, and perform advanced analytics using open-source Big Data tools.
Why Choose DevOpsSchool for Big Data Training
| Feature | DevOpsSchool Advantage | Other Institutes |
|---|---|---|
| Mentored by Rajesh Kumar | Yes | No |
| Lifetime LMS Access | Yes | Limited |
| Real-Time Projects | Yes | Rarely |
| 24/7 Technical Support | Yes | No |
| Job & Interview Assistance | Yes | Limited |
| Industry-Recognized Certificate | Yes | Varies |
Key Highlights
- 80% hands-on practical training
- Live project work using real datasets
- Interview preparation and resume assistance
- Flexible batch schedules: weekends and weekdays
- Access to training resources, notes, and assignments
DevOpsSchool focuses on career readiness, ensuring learners not only gain technical expertise but also practical confidence.
Who Should Enroll?
This program is ideal for:
- Data analysts and data engineers
- Developers aiming to switch to Big Data roles
- IT professionals and DevOps engineers seeking upskilling
- Business intelligence and analytics professionals
- Students aspiring for a career in data engineering
Pre-requisites:
- Basic understanding of Linux/Unix systems
- Familiarity with databases and SQL
- Programming knowledge (preferably Python or Java)
Certification Outcome
Upon successful completion, learners earn a Master in Big Data and Hadoop Certification from DevOpsSchool a recognized credential validating their expertise in Big Data tools and frameworks.
This certification helps professionals pursue roles such as:
- Big Data Engineer
- Hadoop Developer
- Data Analyst
- ETL Engineer
- Data Architect
Call to Action
The future belongs to those who can turn data into actionable insights. Enroll in DevOpsSchool’s Master in Big Data and Hadoop Course to gain the expertise required to excel in data-driven industries. Build real-world experience, master Hadoop technologies, and accelerate your career with industry-recognized certification.
Contact DevOpsSchool:
- Email: contact@DevOpsSchool.com
- India (Phone & WhatsApp): +91 7004215841
- USA (Phone & WhatsApp): +1 (469) 756-6329
