Big Data and Hadoop Developer Training

Big Data and Hadoop Developer Training – Advance Your Analytics Career in 2025

Master the powerful Hadoop ecosystem through Zillion’s comprehensive Big Data and Hadoop Developer Training, designed to equip IT and data professionals with cutting-edge skills needed to harness large-scale data processing. This training covers Hadoop 3.x components including YARN, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark. Get hands-on experience executing real-world projects across banking, telecom, e-commerce, and insurance domains.

Aligned with the Cloudera CCA175 certification, this course prepares you to excel in Big Data development roles by teaching you how to store, process, analyze, and visualize massive datasets. Whether you’re a developer, architect, or data analyst, gain the confidence and expertise to turn data into strategic business assets.

Why Choose Zillion’s Big Data Hadoop Developer Training?

• Industry-Relevant Skills: Learn all critical Hadoop ecosystem components and advanced Apache Spark programming techniques essential in today’s data-driven business world.

• Hands-On Experience: To maximize learning efficiency.

• Real-Life Projects: Engage with domain-specific use cases from banking, telecommunications, social media, insurance, and e-commerce sectors.

• Certification-Ready: The course curriculum aligns with the Cloudera CCA175 exam objectives, ensuring you’re ready to certify successfully.

• Flexible Learning Modes: Choose from classroom training, live virtual instructor-led sessions, or online self-paced videos catering to diverse learning preferences.

Key Training Highlights

• 32 hours of instructor-led online or classroom training

• 24 hours of self-paced video lessons for flexible review

• Five industry-relevant projects enabling real-world application

• Comprehensive modules on Hadoop file systems, YARN, data ingestion, querying, and Spark programming

• Expert instructors with hands-on industry experience

• Lifetime access to learning materials and 24/7 learner support

• Group discounts and refund policies for learner convenience

What You Will Learn

• Explore Big Data fundamentals, growth drivers, and Hadoop’s role in modern data ecosystems

• Deep dive into Hadoop Distributed File System (HDFS), Yarn architecture, and MapReduce programming

• Perform complex joins and data integration using Pig, Hive, and Impala for scalable data analytics

• Master NoSQL concepts with HBase and implement efficient data ingestion via Sqoop and Flume

• Develop robust real-time data pipelines and analytics workflows with Apache Spark, including RDDs, Spark SQL, and optimization

• Manage Hadoop ecosystem security, troubleshoot clusters, and monitor performance for enterprise readiness

• Prepare confidently for the Cloudera CCA175 certification exam with simulation tests and expert feedback

Who Should Enroll?

This training is ideal for:

• Software Developers and Architects embracing Big Data technologies

• Data Management and Analytics professionals upgrading to Hadoop ecosystems

• Project Managers overseeing data-driven initiatives

• Testing professionals and mainframe experts transitioning into Big Data roles

• Recent Graduates aspiring to launch careers in Big Data Analytics

Certification and Exam Readiness

To earn Zillion’s Big Data Hadoop Developer Certificate, learners must:

• Complete one project with deliverables reviewed by certified instructors

• Score at least 80% in any of the provided simulation exams

• Attend a minimum of 85% of the training program

On successful completion, you receive a three-month implementation experience certificate and the skills to confidently attempt the Cloudera CCA175 certification exam (exam fee separate).

FAQ

Is prior Java knowledge necessary?
Basic Java familiarity is recommended. Complimentary access to “Java Essentials for Hadoop” is included.

What if I must cancel my enrollment?
Refunds after deducting administrative fees are available per our policy.

Are group discounts offered?
Yes, contact us for special group pricing.

Course Agenda Overview

• Introduction to Big Data and Hadoop fundamentals

• Hadoop architecture: HDFS, YARN, and deployment models

• Data ingestion and querying: Pig, Hive, Impala, Sqoop, and Flume

• Real-time and batch processing with Apache Spark

• Hands-on lab exercises and project work across multiple industries

• Hadoop administration, security, and troubleshooting

• Advanced topics including distributed processing and cluster scalability