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About the course ;

The amount of data generated every minute in today’s fast-paced digital world has increased dramatically. Just a few examples include uploads to social media sites, digital photos and videos, purchase transaction records, and GPS signals from cell phones. Big data refers to this quantity of massive data with various speeds and types, and its analytics allow experts to transform extensive data through statistical and quantitative analysis into potent insights that can guide effective decision-making. The terminology and fundamental ideas behind big data issues, applications, systems, and techniques that form the basis of current big data computing technologies are thoroughly explained in this course. It offers an introduction to some of the most popular frameworks, including Apache Spark, Hadoop, MapReduce, large-scale data storage technologies, including in-memory key/value storage systems, NoSQL distributed databases, Apache Cassandra, HBase, and big data streaming platforms, including Apache Spark Streaming and Apache Kafka Streams. We will also look at other Big Data Analytics applications employing Machine Learning, Deep Learning, Graph Processing, and many more methods as we cover the principles and approaches. The course is appropriate for all undergraduate and graduate students as well as working engineers and scientists from a variety of professions who are interested in learning about the most cutting-edge Big Data Computing applications.

Administration of the course ;

This course is taken by Dr. Rajiv Misra , who is employed with the Indian Institute of Technology in Patna, India, in the department of computer science and engineering. His Ph.D. is from IIT Kharagpur, his M.Tech in Computer Science and Engineering is from IIT Bombay, and his BTech in Computer Science is from MNIT Allahabad. His research focused on the development of distributed algorithms for wireless networks, cloud computing, ad hoc and sensor networks, and mobile networks. He has made a substantial contribution to these fields and published 2 book chapters in addition to more than 70 papers in prestigious journals and conferences. With almost 590 citations, his h-index is 10. Adhoc Networks, Computer Network, Journal of Parallel and Distributed Computing, IEEE Transactions on Mobile Computing, IEEE Transaction on Parallel and Distributed Systems, IEEE Systems Journal, and he has published papers in all of these journals.

Important dates ;

Enrollment ends : 22 Aug,2022
Duration : 8 weeks (starts from 22-08-2022)

Course layout ;

Week 1 : Introduction to Big Data
Week 2 : Introduction to Enabling Technologies for Big Data
Week 3 : Introduction to Big Data Platforms
Week 4 : Introduction to Big Data Storage Platforms for Large Scale Data Storage
Week 5 : Introduction to Big Data Streaming Platforms for Fast Data
Week 6 : Introduction to Big Data Applications (Machine Learning)
Week 7 : Introduction of Big data Machine learning with Spark
Week 8 : Introduction to Big Data Applications (Graph Processing)

Course certificate ;

Enrollment in and use of the course are both free. However, in order to receive a certificate, you must register and take the proctored exam in person at one of the authorised testing locations.
The exam costs Rs. 1000 and is optional (Rupees one thousand only).
Exams will be held on October 29, 2022. Both the morning and afternoon sessions run from 9 am to 12 pm.
URL for registration: When the registration form is available for registration, announcements will be made.
Both the online registration form and the certification exam fee must be completed and paid. When the registration form for the exam is published, more information will be made available. Any changes will be disclosed at that time. Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

SWAYAM Official links ;

Official website – https://swayam.gov.in
From here you can visit the site and explore more courses according to your preferences.
There are many courses which will enhance your skills and gives you diploma in the courses you want to pursue in future.

By :- Nidhi Gupta ( shyama prasad mukharji college, DU)

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