Online Module: Managing Big Data





Topics of this Online Module:

  • Data Collecting and Harvesting of Big Data
  • Data Harvesting and Web Scraping
  • Preprocessing of Big Data
  • Master Data Management
  • Reference Data Management
  • Data Quality - Defining and Measuring Quality of Big Data
  • Data Governance
  • Data Security
  • Accessing and Sharing Big Data


Videos of this Online Module


I. Video - Types of (Big) Data

Topics covered in this video:

  • Machine-generated Data
  • People-generated Data
  • Structured vs. Unstructured Data
  • Characterizing Dimensions of Big Data

Slides of this Video (in PDF)



II. Video - Data Architecture

Topics covered in this video:

  • What is Data Architecture?
  • Data Asset Inventory
  • Data Models
  • Data Lifecycle
  • Architecture of a DBMS

Slides of this Video (in PDF)



III. Video - Master Data Management

Topics covered in this video:

  • What Is Master Data Management?
  • Master Data Management Framework
  • Data Quality and Master Data Management
  • Reference Data vs. Master Data

Slides of this Video (in PDF)



IV. Video - Data Quality

Topics covered in this video:

  • Data Quality Dimensions
  • Trusting your Data
  • Implementing Data Quality
  • Data Quality Tools

Slides of this Video (in PDF)



V. Video - Data Governance

Topics covered in this video:

  • What is Data Governance?
  • Data Policies, Standards and Guidelines
  • Data Governance Operations
  • Roles in Data Governance

Slides of this Video (in PDF)



VI. Video - Data Security

Topics covered in this video:

  • What is Data Security?
  • Data Processes to be Secured
  • Assessing the Need for Data Security
  • The Cybersecurity Framework
  • Data Security Tools

Slides of this Video (in PDF)





All Slides Presented in All Videos (combined together)

Here you can download the slides, which were introduced, explained and presented in the videos of this online module about Data Visualization.





Legal Disclaimer

Module recordings are made for the benefit of students to have access to the course content regardless of geographic location. Any personal recording or other non-academic use of these sessions is strictly prohibited. The recordings may not be shared, copied or redistributed without the explicit permission of the instructor. Forwarding, uploading to YouTube or other platforms or commercial distribution is strictly prohibited and will be prosecuted. Similarly, the accompanying slides are developed to illustrate the course content and made solely for the convenience of students. They may not be shared, copied or redistributed without the explicit permission of Prof. Dr. Florian Stahl.





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