Big Data and Analytics (BCDS601) important topics for AKTU – unit-wise
Topics are ranked by how many times AKTU asked them across 8 papers. Finish the "very likely" topics first, then the top topics of each unit.
High-probability Big Data and Analytics topics
- HDFS Design and Concepts (Unit 3: HDFS and Hadoop Environment) – asked 33 times in 2018, 2022, 2023, 2024, 2025
- Hadoop Ecosystem and YARN (Unit 4: Hadoop Ecosystem YARN NoSQL Spark Scala) – asked 19 times in 2018, 2023, 2024, 2025
- MapReduce Framework (Unit 2: Hadoop and MapReduce) – asked 17 times in 2018, 2022, 2023, 2024, 2025
What to cover inside these topics
- HDFS Design and Architecture (part of HDFS Design and Concepts)
- Data Replication (part of HDFS Design and Concepts)
- Block Sizes and Abstraction (part of HDFS Design and Concepts)
- YARN Architecture and MRv2 (part of Hadoop Ecosystem and YARN)
- Schedulers Fair and Capacity (part of Hadoop Ecosystem and YARN)
- Hadoop 2.0 New Features (part of Hadoop Ecosystem and YARN)
- MapReduce Basics and Working (part of MapReduce Framework)
- Anatomy of MapReduce Job Run (part of MapReduce Framework)
- Developing MapReduce Application (part of MapReduce Framework)
Most asked Big Data and Analytics topics in each unit
- Unit 1 (Introduction to Big Data): Big Data Introduction – 15 times; Big Data Analytics – 8 times; Big Data Characteristics – 7 times
- Unit 2 (Hadoop and MapReduce): MapReduce Framework – 17 times; Apache Hadoop – 16 times; Hadoop Ecosystem
- Unit 3 (HDFS and Hadoop Environment): HDFS Design and Concepts – 33 times; HDFS Read Write Operations – 8 times; Hadoop IO and Serialization
- Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala): Hadoop Ecosystem and YARN – 19 times; NoSQL Databases – 9 times; MongoDB – 8 times
- Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase): Apache Hive – 17 times; Apache Pig – 11 times; HBase – 3 times