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Big Data and Analytics (BCDS601) AKTU syllabus – unit-wise topics

The complete Big Data and Analytics syllabus for AKTU, unit by unit. Next to each topic you can see how often it has appeared in past papers, so you know where the marks are.

Unit 1: Introduction to Big Data

  • Big Data Introduction – asked 15 times
  • Big Data Characteristics – asked 7 times
  • Big Data Technology Components – asked 4 times
  • Big Data Security and Privacy – asked 5 times
  • Big Data Analytics – asked 8 times

Unit 2: Hadoop and MapReduce

  • Apache Hadoop – asked 16 times
  • Hadoop Ecosystem
  • MapReduce Framework – asked 17 times
  • Advanced MapReduce

Unit 3: HDFS and Hadoop Environment

  • HDFS Design and Concepts – asked 33 times
  • HDFS Read Write Operations – asked 8 times
  • Hadoop IO and Serialization
  • Hadoop Environment Setup

Unit 4: Hadoop Ecosystem YARN NoSQL Spark Scala

  • Hadoop Ecosystem and YARN – asked 19 times
  • NoSQL Databases – asked 9 times
  • MongoDB – asked 8 times
  • Apache Spark – asked 7 times
  • Scala Programming

Unit 5: Hadoop Ecosystem Frameworks Pig Hive HBase

  • Apache Pig – asked 11 times
  • Apache Hive – asked 17 times
  • HBase – asked 3 times
  • Zookeeper – asked 2 times
  • IBM Big Data Strategy