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Big Data and Analytics (BCDS601) AKTU PYQ analysis – unit-wise weightage

We analysed 194 questions from 8 AKTU Big Data and Analytics papers (2018–2025). Here is how marks are spread across units and which topics keep coming back.

Big Data and Analytics unit-wise weightage

  • Unit 1: Introduction to Big Data – 55% of questions, about 34 marks per paper
  • Unit 2: Hadoop and MapReduce – 39% of questions, about 28 marks per paper
  • Unit 3: HDFS and Hadoop Environment – 51% of questions, about 32 marks per paper
  • Unit 4: Hadoop Ecosystem YARN NoSQL Spark Scala – 64% of questions, about 40 marks per paper
  • Unit 5: Hadoop Ecosystem Frameworks Pig Hive HBase – 43% of questions, about 27 marks per paper

Most repeated Big Data and Analytics topics in AKTU PYQs

  • HDFS Design and Concepts
  • Hadoop Ecosystem and YARN
  • MapReduce Framework
  • Apache Hive
  • Apache Hadoop

Unit 1 (Introduction to Big Data) – top topics

  • Big Data Introduction – asked 15 times, last in 2025
  • Big Data Analytics – asked 8 times, last in 2025
  • Big Data Characteristics – asked 7 times, last in 2025

Unit 2 (Hadoop and MapReduce) – top topics

  • MapReduce Framework – asked 17 times, last in 2025
  • Apache Hadoop – asked 16 times, last in 2025
  • Hadoop Ecosystem

Unit 3 (HDFS and Hadoop Environment) – top topics

  • HDFS Design and Concepts – asked 33 times, last in 2025
  • HDFS Read Write Operations – asked 8 times, last in 2025
  • Hadoop IO and Serialization

Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) – top topics

  • Hadoop Ecosystem and YARN – asked 19 times, last in 2025
  • NoSQL Databases – asked 9 times, last in 2025
  • MongoDB – asked 8 times, last in 2024

Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase) – top topics

  • Apache Hive – asked 17 times, last in 2025
  • Apache Pig – asked 11 times, last in 2025
  • HBase – asked 3 times, last in 2025