Course Overview
Big Data is the backbone of digital transformation. From social media to finance, healthcare to retail—organizations rely on data-driven insights for strategic decisions. Apache Hadoop, a leading open-source framework, enables the storage, processing, and analysis of massive datasets across distributed computing clusters.
What You Will Learn
- Introduction to Big Data and Hadoop
- Hadoop Distributed File System (HDFS)
- MapReduce Programming
- Data processing using Pig and Hive
- NoSQL Database with HBase
- Data movement using Sqoop and Flume
- Workflow scheduling with Oozie
- Real-time project implementation
Prerequisites
- Hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop.
- Students should have programming experience, preferably with Visual Studio and SQL, as well as familiarity with the Windows Server operating system.
- No prior Hadoop knowledge is required though.
Who Can Enroll?
- Data Analysts & Engineers
- Software Developers
- System Administrators
- Business Intelligence Professionals
- Business Intelligence Professionals
Big Data Analytics 
