CS441 Big Data Concepts Notes, MCQs & Assignments | Query Point Official

CS441 ||| Big Data Concepts

CS441 – Big Data Concepts introduces techniques and tools for managing and analyzing large-scale data. Students learn about big data architectures, Hadoop, Spark, and data processing strategies.

Course Introduction

This course equips students with knowledge and practical skills to handle massive datasets, design distributed systems, and perform big data analytics efficiently.

Course Learning Objectives

• Understand big data characteristics and challenges
• Learn Hadoop and Spark frameworks
• Process, analyze, and visualize large datasets
• Design distributed data processing systems
• Explore emerging trends in big data technologies

Major Topics / Syllabus

• Introduction to Big Data
• Hadoop Ecosystem and HDFS
• MapReduce Programming
• Apache Spark and Streaming
• NoSQL Databases
• Data Analytics and Visualization
• Big Data Security and Governance
• Cloud-based Big Data Solutions
• Case Studies on Big Data Applications
• Practical Projects and Hands-on Exercises

Practice Areas

• MCQs on big data concepts
• Short questions on Hadoop and Spark
• Long questions on distributed data processing
• Hands-on exercises on big data platforms
• Case study analysis

Exam Preparation Tips

• Revise big data frameworks thoroughly
• Practice MapReduce and Spark coding exercises
• Understand distributed storage and processing
• Solve previous MCQs and assignments
• Work on mini-projects for practical knowledge

CS441 Big Data MCQs

CS441 Big Data MCQs (click here)

CS441 Big Data Questions

CS441 Big Data Short & Long Questions (click here)

Assignment Questions

For Assignment Questions (click here)

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