Tutorials on Cloud Computing, Big Data and Data Science by Yuri Demchenko (since 2016)
by Yuri Demchenko


 Publications, Technical reports, Works in progress, Presentations, Tutorials
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2024

  1. Reseach Data Management Foundations and Practices, SLICES-CONVERGE tutorial, 27 Febraury 2024 (PDF)

2023

  1. 2nd SLICES SC Summer School Efficient wireless communication and computing experimental research in 6G-era, 13-15 June 2023, Oulu, Finland Program

2022

  1. SLICES SC Summer School Open RAN/Core/Edge Solutions for Cloud Native Telco Experimental Platforms, July 2022, Volos, Greece

2021

  1. Introduction to Big data technologies for Data Analytics for the maritime industry, MATES Project Training 19, 21, 26 & 28 of January 2021, Online  (MATES link)
  2. Industrial Data spaces, Data management and governance for the maritime industry, MATES Project Training  16, 18 & 23 of February 2021, Online  (MATES link)
  3. Introduction to Data science & analytics foundation for the maritime industry, MATES Project Training  9, 11, 16, 18 & 23 of March 2021, Online (MATES link)

2020

  1. From DevOps to DataOps: Cloud based Software Development and Deployment, HPCS2020 Tutorial
  2. Introduction to Big Data Technologies and Data Management Practices for the Maritime Industry, MATES project course, 13-15 October 2020, Online (MATES link) (Materials)

2019

  1. Developing Data Science and Analytics related competences and professional skills: Practical recommendations to Data Science job seekers, educator and team managers, Tutorial at ICDATA'19 Conference, 29-31 July 2019, Las Vegas (PDF)
  2. Becoming a Data Scientist, Teaching Data Scientists: How to develop Data Science and Analytics related competences and professional skills: Foundations and Recommendations, Tutorial at HPCS 2019, July 15 - 19, 2019, Dublin, Ireland  (PDF)
  3. Cloud Based Big Data Infrastructure and Tools for Data Analytics and Data Management, Tutorial at HPCS 2019, July 15 - 19, 2019, Dublin, Ireland   (PDF) - Tutorial files
  4. DevOps and Cloud based Software Development (in development)  (PDF)
  5. Data Science Competences and skills: education, training and (self-) assessment (in development)  (PDF)

2018

  1. Becoming a Data Scientist, Teaching Data Scientists: How to develop Data Science and Analytics related competences and professional skills: Foundations and Recommendations, Kiev Meetup, 19 October 2018, Kiev, Ukriane (PDF)

2017

  1. Data Science Profession and Education EDISON Data Science Framework (EDSF) as a foundation to establish Data Science profession, Keynote talk, The 17th IEEE International Conference on Smart Technologies, IEEE EUROCON 2017, 6-8 July 2017, Ohrid, Macedonia (PDF)
  2. EDISON Data Science Framework (EDSF) as a basis for Data Science Curriculum Harmonisation, Skills Management and Capacity Building, Data Science Curriculum Harmonisation, 26 May 2017, Sikorsky NTUU 'KPI" Kiev, Ukraine (PDF)

2016

  1. The rise of Data Scientist: Dealing with Big Data in Agile Data Driven Organisations and New Organisational Roles, Big Data Innovation Conference BDIC2016, 16-17 November 2016, Frankfurt, Germany  (PDF)