BigData & High Performance Computing Solution (Major Elective - I)
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Follow on Instagram for UpdatesBigData & High Performance Computing Solution (Major Elective - I) Syllabus — Unit-wise Content
The official GTU curriculum for BigData & High Performance Computing Solution (Major Elective - I) (subject code 3715503) as prescribed for CE(P · Semester 1 divides the course into 5 units, covering 26 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3715503)Unit 1 Big Data Application Architecture Q & A
- A Problem-Solution Approach
- Nitin Sawant and Himanshu Shah Apress 2013 ISBN:9781430262923 Sr
- Content Total Hrs % Weightage 1 Big Data Fundamentals - Big Data Overview
- 3Vs of Data - Volume
- Big Data Challenges
- Application Areas
- Application Tools and Platforms
Unit 2 Designing and building big data applications , Big data architecture,
- Distributed Computing platforms
- Security and Data Privacy
- Multi-core scalability
- Parallel and Distributed Processing 7
Unit 3 Distributed Processing and Data Storage, Hadoop Framework, HDFS and
- data managements using HDFS
- Mapreduce Framework and programming
Unit 4 Introduction to Modern databases-NoSQL, NewSQL, NoSQL Vs
- RDBMS databases
- Advantages & Tradeoffs
- Working with MongoDb
Unit 5 Big Data Applications and Case Study- Big Data in Scientific
- Big data in Healthcare 2
- Too Big to Ignore: The Business Case for Big Data.
- Phil Simon
- John Wiley & Sons
- Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools
- NoSQL, and Graph David Loshin
- Morgan Kaufmann Publishers
- Big Data Management
- Technologies, and Applications
- Wen-Chen Hu and Naima Kaabouch (eds) IGI Global
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