Big Data Analytics – ONLINE (engl.)
The curriculum highlights distributed computing models such as Hadoop and HPCC Systems, covering aspects like block storage, file systems, Map-Reduce Jobs, and the CAP Theorem. Students will gain a deep understanding of batch processing, in-memory distributed processing, and stream processing.
Level 2: For advanced learners (basic knowledge of the subject is required)
Requirements: Please bring your laptop, webcam and headset with you so that you can use the room we will provide.
Credit Points (ECTS): 1, grading possible
Dozentinnen
Dr G Shobha
Shobha G, Professor, Computer Science and Engineering Department, RV College of Engineering, Bengaluru, India have teaching experience of 27 years, her specialization includes Data mining, Machine Learning and Image processing. She has published more than 150 papers in reputed journals / conferences. She has also executed sponsored projects worth INR 300 lakhs funded from various agencies nationally and internationally. She is a recipient of various awards such as Career Award for young teachers 2007-08 constituted by All India Council of Technical Education, Best Researcher award from Cognizant 2017, GHC Faculty Scholar for Women in Computing in 2018, IBM Shared University Research Award in 2019, HPCC Systems community recognition award 2020. HPCC Mentorship award 2021. She is also an advisory committee member for IET India Scholarship Award 2021,2022,2023.
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Dr. Jyoti Shetty
I am Jyoti Shetty, serving as Assistant Professor, CSE Department, RV College of Engineering(RVCE), Bengaluru, India. I have been associated with RVCE since 2009. Before joining RVCE I have worked at Global Edge Software Pvt. Ltd as software engineer and trainer and SGGSIET Nanded as Lecturer.
My research interest is in area of machine learning, cloud computing and big data. I have been actively associated with LexsisNexis Inc. working on HPCC Systems( A distributed computing platform) since 2017.
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