Big Data and Analytics Unit 5 – Hadoop Ecosystem Frameworks Pig Hive HBase: important questions for AKTU
Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase) questions that AKTU repeats most often. This unit carries about 27 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 5 questions
- Evaluate the use of Hive, Pig, and HBase for different Big Data application scenarios. When would you choose one over the others? (7 marks, 2025, Apache Hive) – also asked in 2018, 2022, 2023, 2024
- Explain the architecture of HIVE. Also explain data flow in HIVE. (7 marks, 2025, Apache Hive) – also asked in 2018, 2022, 2023, 2024
- Provide an overview of Apache Hive architecture and its components. How does Hive translate SQL-like queries into MapReduce jobs for data processing in Hadoop? (10 marks, 2024, Apache Hive) – also asked in 2018, 2022, 2023, 2025
Most important Unit 5 topic
- Apache Hive (Unit 5: Hadoop Ecosystem Frameworks Pig Hive HBase) – asked 17 times in 2018, 2022, 2023, 2024, 2025
Most asked Unit 5 topics
- Apache Hive – asked 17 times
- Apache Pig – asked 11 times
- HBase – asked 3 times
More Unit 5 previous year questions
- How does Hive differ from Pig in the Hadoop ecosystem? (2 marks, 2025, Apache Hive)
- What are the key differences between Hive and traditional SQL databases (2 marks, 2025, Apache Hive)
- Explain the role of Pig Latin as a high-level scripting language for processing large datasets in cloud environments. How does using Pig Latin on cloud-based Hadoop platforms simplify data transformation and analysis compared to traditional MapReduce programming? (7 marks, 2025, Apache Pig)
- Describe HBase and its data model. How does HBase differ from traditional relational databases, and what types of applications benefit most from using HBase (7 marks, 2025, HBase)
- Explain the process of data loading and querying in Hive. How does HiveQL differ from standard SQL, and what are its advantages (7 marks, 2025, Apache Hive)
Unit 5 syllabus topics
- Apache Pig
- Apache Hive
- HBase
- Zookeeper
- IBM Big Data Strategy