Big Data and Analytics (BDA) Notes for AKTU B.Tech
Big Data and Analytics introduces how very large datasets are stored and processed. The paper covers the characteristics of big data, the Hadoop ecosystem, HDFS architecture, MapReduce programming, YARN, NoSQL databases, and tools such as Hive, Pig, HBase and Spark, along with basic analytics concepts.
big data and analytics exam intelligence
Study material (21 resources)
- bda unit 1 notesNotes · Unit 1 · Semester 6
- bda unit 2 notesNotes · Unit 2 · Semester 6
- bda unit 3 notesNotes · Unit 3 · Semester 6
- bda unit 5 notesNotes · Unit 5 · Semester 6
- bda unit 4 notesNotes · Unit 4 · Semester 6
- Big Data unit-1 notesNotes · Unit 1 · Semester 6
- big data unit-2 notesNotes · Unit 2 · Semester 6
- bda pyq(2024-25)PYQ · Semester 6
- big data unit-1 detailed notesNotes · Unit 1 · Semester 6
- bda pyq(2023-24)PYQ · Semester 6
- big data unit-2 short notesNotes · Unit 2 · Semester 6
- bda pyq(2022-23)PYQ · Semester 6
- big data unit-1 short notesNotes · Unit 1 · Semester 6
- big data pyq(2024 25)PYQ · Semester 6
- big data pyq(2024 25) BCS061PYQ · Semester 6
- big data pyq(2023 24)KCS061PYQ · Semester 6
- big data pyq(2021 22)PYQ · Semester 6
- big data pyq(2023 24) KDS601PYQ · Semester 6
- big data pyq(2022 23)KCS061PYQ · Semester 6
- big data pyq(2022 23)PYQ · Semester 6
- big data pyq(2017 18)PYQ · Semester 6
big data and analytics study guide
This page collects every Big Data and Analytics resource on AcademicArk for AKTU Semester 6 students: 21 PDFs in total, including 10 typed notes sets and 11 previous year question papers. Each resource opens with a preview, and the list is ordered by what students have recommended, downloaded and viewed most.
The BDA syllabus is divided into 5 units: Unit 1 (Introduction to Big Data), Unit 2 (Hadoop and MapReduce), Unit 3 (HDFS and Hadoop Environment), Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) and Unit 5 (Hadoop Ecosystem Frameworks Pig Hive HBase).
AcademicArk has analysed 8 AKTU BDA question papers from 2018 to 2025, covering 194 questions. Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) carries about 40 marks per paper, while Unit 1 (Introduction to Big Data) carries about 34 marks per paper. The most repeated topics are HDFS Design and Concepts (asked 33 times), Hadoop Ecosystem and YARN (asked 19 times), MapReduce Framework (asked 17 times) and Apache Hive (asked 17 times). The full unit-wise breakdown, important questions and a predicted paper are linked in the exam intelligence card on this page.
Architecture questions dominate: HDFS (NameNode, DataNode, replication), MapReduce workflow with a word-count example, and YARN components. Prepare clear comparison tables (RDBMS vs NoSQL, Hive vs Pig, MapReduce vs Spark) since AKTU asks them often. One neat architecture diagram per tool is worth more than long paragraphs.
More AKTU subject notes
- AKTU Big Data and Analytics Previous Year Question Papers (PYQ PDF)
- Database Management System (DBMS) Notes for AKTU
- Design and Analysis of Algorithms (DAA) Notes for AKTU
- Data Structure (DS) Notes for AKTU B.Tech
- Computer Organization & Architecture (COA) Notes for AKTU
- Computer Networks (CN) Notes for AKTU B.Tech
- Operating System (OS) Notes for AKTU B.Tech
- AKTU DBMS Important Questions - Unit-Wise with Solutions
Frequently asked questions
Which topics are important in Big Data for AKTU?
HDFS architecture, MapReduce with an example, YARN, NoSQL databases and the Hadoop ecosystem tools (Hive, Pig, HBase, Spark) are the most asked topics.
Do I need to write code in the Big Data exam?
Mostly no. You may be asked to explain a MapReduce program such as word count, but the paper is largely architecture and concept based.
Are Big Data previous year papers available?
Yes. This page includes previous year papers alongside notes, and the PYQ analysis shows the repeated topics.
How many BDA previous year papers has AcademicArk analysed?
8 AKTU Big Data and Analytics papers from 2018 to 2025, with 194 questions mapped to units and topics, so you can see exactly what repeats before the exam.
Which unit of BDA is most important for the AKTU exam?
Based on previous year papers, Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) carries the most weight at about 40 marks per paper. The topics that repeat most are HDFS Design and Concepts, Hadoop Ecosystem and YARN and MapReduce Framework.