Get certified through this program backed by leading technology partners and delivered by experienced professionals from the industry.






The Big Data and Hadoop Training program focuses on how to manage voluminous data by making the best use of Big Data and Hadoop concepts together. This course includes core Big Data topics, in-depth exposure to the Hadoop ecosystem, and real-world implementation labs to prepare you for real-time data engineering roles.
Boost your career with Big Data & Hadoop! The global big data market is booming, projected to reach $401.2B by 2028 with a 12.7% CAGR. Hadoop is key, expected to hit $842.25B by 2030 at a 37.4% CAGR. Demand for skilled professionals is soaring across industries.
Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access. 90 days of flexible access to online classes.
Transform your talent. Provide comprehensive training to upskill current employees or reskill them for new roles.
Lesson 1: Java Basics, Cloudera Quickstart VM
Lesson 2: Introduction to Big Data
Lesson 3: Technologies for Handling Big Data (Distributed Computing, Hadoop, HDFS, MapReduce) Lesson 4: Hadoop Ecosystem – HDFS Architecture
Lesson 5: Hadoop Ecosystem – YARN, HBase
Lesson 6: Pig, Pig Latin, Hive, Sqoop
Lesson 7–18:
This course helps learners understand how to process large-scale data efficiently using Hadoop. It involves practical training on tools like Hive, Pig, Sqoop, HBase, and more.
Big Data is the foundation of digital transformation. Mastering Hadoop opens doors to high-demand roles in data engineering and analytics.

• Execute MapReduce jobs • Design and run Hive queries

• Integrate MySQL with Hadoop via Sqoop • Stream data using Apache Flume

• Model NoSQL data using HBase
Earn your Industry-Ready Certificate (IRC) by completing your projects and clearing the pre-placement assessment
Unique System Skills Learners will be provided with 360-degree career guidance & Placement Assistance





"Outstanding course for Big Data beginners! Instructors broke down Hadoop and Spark with real-world examples. Hands-on labs and the capstone project were key—I landed a data engineer role post-training. Fast-paced but worth it!"
"Career-changing experience! Mastered Hadoop and Spark with practical GCC-focused insights. The job assistance (résumé help, mock interviews) led to a promotion. Perfect for upskilling in Saudi Arabia’s tech sector."
"Great mix of theory and practice. Hadoop sessions were intense but rewarding. Networking with GCC peers and local job leads were highlights. Slightly more Kafka depth would’ve been ideal. Now freelancing confidently!"
Big Data refers to large, complex data sets that traditional tools can’t handle efficiently. Hadoop is an open-source framework used to process these massive datasets in a distributed environment.
A Big Data Developer builds and manages large-scale data processing systems using tools like Hadoop, Hive, and MapReduce. They work with structured and unstructured data, designing systems for performance and scalability.




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