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#Big data question paper vtu full#
#Big data question paper vtu professional#

#Big data question paper vtu professional#

Cloud Computing: A Practical Approach – Toby Velte, Anthony Velte, Robert Elsenpeter, McGraw Hill Professional Publications, 2009.įor detail syllabus of all other subjects of BE Med Elec, 2017 regulation do visit Med Elec 7th Sem syllabus for 2017 Regulation.ĭont forget to download iStudy for latest syllabus and results, class timetable and more.Read the passage given below and answer the questions that follow.“The only function of economic forecasting is to make astrology look respectable,” John Kenneth Galbraith, an irreverent economist, once said.

Cloud Computing Bible – Barrie Sosinsky, Wiley-India, 2010.Big Data Analytics with R and Hadoop – Vignesh Prajapati, 2013 Packt Publishing.Mastering Cloud Computing – Rajkumar Buyya, Christian Vecchiola, and Thamarai Selvi McGraw Hill Education.Big Data and Analytics – Seema Acharya, Subhashini Chellappan Willey India ISBN 13 9788126554782.

#Big data question paper vtu full#

The students will have to answer FIVE full questions, selecting ONE full question from ea module.Each full question will have sub questions covering all the topics under a module.There will be TWO full questions (with maximum of THREE sub questions) from each modul.The question paper will have TEN questions.Describe and apply fine data intensive computing.Demonstrate cloud frameworks and technologies.Discuss the concepts and terminologies of cloud computing.Apply the techniques in handing and analysis of big data.

Describe the concepts and technologies of big data analytics.

Introduction :Cloud Computing at a Glance, Historical Developments, Building Cloud Computing Environments, Computing Platforms and Technologies, Virtualization: Introduction, Characteristics of Virtualized, Environments Taxonomy of Virtualization Techniques, Virtualization and Cloud Computing, Pros and Cons of Virtualization, Technology Examples.Ĭloud Computing Architecture: Introduction, Cloud Reference Model, Architecture, Types of Clouds, Economics of the Cloud, Open Challenges, Aneka: Cloud Application Platform: Framework Overview, Anatomy of the Aneka Container, Building Aneka Clouds, Cloud Programming and Management.Īfter studying this course, students will be able to: Its a light weight, easy to use, no images, no pdfs platform to make students life easier. Introduction To Big Data: Characteristics of Data, Evolution of Big Data, Definition of Big Data, Challenges with Big Data, What is Big Data?, Other Characteristics of Data, Why Big Data?, Information?, Traditional Business Intelligence (BI) versus Big Data, A Typical Data Warehouse Environment, A Typical Hadoop Environment, What is New Today?, What is changing in the Realms of Big Data? Big Data Analytics: What is Big Data Analytics? What Big Data Analytics Isnt? Classification of Analytics, Top Challenges Facing Big Data, Why is Big Data Analytics Important? Data Science, Few Top Analytics Tools.įor complete syllabus and results, class timetable and more pls download iStudy. The detail syllabus for big-data and cloud computing is as follows. For all other Professional Elective-IV subjects do refer to Professional Elective-IV. For all other med elec 7th sem syllabus for be 2017 scheme vtu you can visit Med Elec 7th Sem syllabus for BE 2017 Scheme VTU Subjects.