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Webinar MATES ED2MIT "Introduction to Big Data and Data Management for Maritime Industry"

Sarah edited this page Mar 6, 2021 · 3 revisions

MATES ED2MIT Webinar "Introduction to Big Data and Data Management for Maritime Industry"

Day 1 topics

  • Course introduction: MATES project, Industry 4.0 and digitalisation, Digital and data competences and skills
  • Introduction into Big Data concepts, architecture and technologies, Use cases
  • Discussion: Digitalisation aspects in your organisations

Day 1 zoom recording (raw, not edited): Download and play in MediaPlayer or other MP4 player

Day 2 topics

  • Big Data algorithms, Hadoop Big Data Platform
  • Cloud based Big Data platforms and Providers
  • Demo and practice: working with cloud services and Hadoop cluster

Day 2 video recording(raw, not edited): Download and play in MediaPlayer or other MP4 player

Day 3 topics

  • Data Management and Governance, Organisational roles
  • Data Management and Governance frameworks, maturity and quality assurance
  • Industrial data, Data Sovereignty and Data protection
  • Discussion: Data management in your organisations

Day 3 video recording: Link to be posted overnight after the lecture

Day 4 topics

  • Case study: Research Data Management
  • Research Data Management tasks and approaches
  • Metadata for Discovery, Data Protection
  • Open Data, Open Access, Open Science
  • FAIR Data principles, Data Stewardship
  • Practice: Data Management Plan

Day 4 video recording: Link to be posted overnight after the lecture

Webinar Materials

Lecture and supplementary materials are shared via OneDrive shared folder

Check for self-study materials and advice on free trial cloud accounts in the folder "cloud-aws-self-study-materials"

Logistics

Course format: 4 Sessions of 3 hours, including 2 breaks 15 min

Time 15:00-18:00, online

Webinar information page https://github.com/EDISONcommunity/EDSF/wiki/(!)-Webinar-MATES-ED2MIT-%22Introduction-to-Big-Data-and-Data-Management-for-Maritime-Industry%22

Zoom class and Youtube streaming (optional) YouTube channel (live stream appears at the scheduled time, mind 20 sec delay)

Course materials are uploaded daily in advance to the OneDrive folder

Lectures will be recorded and uploaded after lecture overnight, and updated after processing - approx. 2-3 days