Big Data and Hadoop Developer Training

Big Data and Hadoop Developer Training: Course Overview

Unlock the full potential of Hadoop and Spark with a training program built for the evolving data landscape of 2025. This in-depth training immerses learners in the practical skills, architecture, and tools required to drive big data innovation. Explore real-world applications in banking, telecom, insurance, e-commerce, and social media, and prepare for top industry certifications.

Key Features

• 32 hours of instructor-led, classroom-based learning

• 24 hours on-demand learning through self-paced videos

• Five hands-on projects modelled after real industry scenarios

• Course coverage includes Hadoop 2.7, YARN, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark

• Direct alignment with Cloudera CCA175 certification exam objectives

• Immediate practical access via CloudLab—no local installations needed

• Flexible learning options: in-person, live online, and self-learning formats

What You’ll Learn

• Navigating Hadoop’s architecture for modern data pipelines and scalable analytics

• Building, testing, and deploying big data solutions in Spark and Hadoop environments

• Crafting end-to-end workflows using Pig, Hive, Impala, HBase, Sqoop, and Flume

• Executing advanced ETL and real-time interactive analytics with Spark SQL and RDDs

• Tackling real business challenges through industry-based case projects

• Mastering Hadoop administration, security best practices, and troubleshooting

Learning Path & Agenda

Foundations

• Understanding the impact of big data in today’s digital economy

• Hadoop’s evolution, its components, and how distributed storage unlocks innovation

Core Skills

• HDFS and YARN architecture and resource management

• Data ingestion techniques with Sqoop and Flume

• Processing and querying data with Hive, Pig, and Impala

• Managing unstructured data using HBase and comparing it to traditional RDBMS

• Spark fundamentals: RDDs, parallel processing, and optimization techniques

Practical Labs

• Real-world projects via CloudLab: banking, telecom, insurance, and e-commerce scenarios

• Immediate practice in a virtual, preconfigured environment—no manual setup required

• Access to “Java Essentials for Hadoop” for building prerequisite skills

Certification Details

Certification is awarded after successful completion of at least one industry project, scoring 80% on simulation tests, and completing 85% of the course. Graduates earn a three-month experience certificate for hands-on Hadoop projects, cementing readiness for the Cloudera CCA175 exam.

Who Should Enroll?

Designed for software engineers, analytics professionals, IT managers, BI specialists, mainframe testers, project managers, and aspiring data scientists. Recent graduates seeking big data roles will also benefit from this advanced, market-driven curriculum.

Frequently Asked Questions

Trainer Qualifications: All sessions are led by certified, industry-experienced instructors.
Flexible Formats: Choose in-person, live virtual, or fully self-paced options to fit your schedule.
Enrollment and Refunds: Cancellations are allowed with refund policies detailed for transparency. Group discounts are also available.
CloudLab Access: Secure, browser-based access to a full-featured big data lab. No installation hassles.

2025 Industry Alignment

The course delivers future-ready Hadoop knowledge, job-oriented skills, and practical labs reflecting the latest regulatory requirements and technology trends for big data roles in 2025. Curriculum and project topics respond to new compliance standards, enterprise data architecture models, and evolving analytics practices, ensuring learners and organizations are ahead of the curve.