| After completion of the course, the students will be able to: CO1: Understand the concepts and significance of big data, including its capture, management, organization, and analysis CO2: Utilize the HDFS command line interface to interact with the file system, manage data nodes, and work with the data flow. CO3: Describe the concept of MapReduce, its features, types, and formats, and comprehend the workflow of a MapReduce job. CO4: Set up a Hadoop cluster, considering system requirements, and understand the different installation mode CO5: Analyze and manage big data using Hadoop ecosystem tools and techniques, such as HDFS, MapReduce, and NoSQL databases. CO6: Apply critical thinking and problem-solving skills to address technological challenges associated with big data and propose appropriate solutions |
- Teacher: NEERAJ KUMAR PANDEY