B.TechSemester 62024-25G Data And AnalyticsBCDS601BI

G Data And Analytics (BCDS601BI) - AKTU Question Paper 2024-25

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU G Data And Analytics Previous Year Question Paper for B.Tech Semester 6, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

G Data And Analytics (BCDS601BI) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 02 x 7 = 14
  • a
    Define Big Data. What are its key characteristics
  • b
    D e f i n e t h e H a d o o p D i s t r i b u t e d F i l e S y s t e m ( H D F S ) . H o w i s i t d i fferent from traditional file systems?
  • c
    What do you mean by MapReduce? List its main phases
  • d
    Describe how compression techniques and file formats impact the performance of big data processing systems
  • e
    What is the role of file system interfaces in big data storage environments
  • f
    Explain briefly the role of YARN in the Hadoop ecosystem
  • g
    What are the key differences between Hive and traditional SQL databases
Section BAttempt any three of the following: 7 x 3 = 21
  • a
    Describe its Big Data’s evolution over time. Discuss the key dr ivers behind the rise of Big Data
  • b
    What is the role of Big Data analytics in intelligent data analysis
  • c
    Explain the architecture and use cases of Apache Flume and Apac he Sqoop in Big Data systems. How do these tools support efficient data ingestion fr om structured and unstructured sources
  • d
    Evaluate the trade-offs between real-time and batch processing in distributed systems. How do technologies like YARN and Spark support both paradigms
  • e
    Evaluate the use of Hive, Pig, and HBase for different Big Data application scenarios. When would you choose one over the others?
Section CAttempt any one part of the following: 7 x 1 = 7
  • a
    Describe the importance and applications of Big Data in differe nt industries such as healthcare, finance, and e-commerce. How does Big Data contribute to decision-making in these sectors?
  • b
    What are the major concerns related to Big Data privacy and eth ics? Discuss how auditing and compliance play a role in addressing these concerns
  • a
    Discuss the process of job scheduling and task execution in Had oop. How does Hadoop ensure fault tolerance during task execution?
  • b
    What are HDFS block size and block abstraction? How do they con tribute to performance in Big Data systems
  • a
    Design a data ingestion and transformation pipeline for a real- time social media analytics system using tools like Flume, Sqoop, and Avro
  • b
    Explain the architecture and use cases of Apache Flume and Apac he Sqoop in Big Data systems. How do these tools suppo rt efficient data ingestion fr om structured and unstructured sources
  • a
    Evaluate the use of NoSQL databases in real-time big data appli cations. Discuss their strengths and weaknesses compared to SQL databases
  • b
    Evaluate the performance benefits and limitations of Spark over traditional MapReduce in big data processing
  • a
    Describe HBase and its data model. How does HBase differ from t raditional relational databases, and what types of applications benefit most from using HBase
  • b
    Explain the process of data loading and querying in Hive. How d oes HiveQL differ from standard SQL, and what are its advantages

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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