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.- Slides: Managing Big Data (PDF)
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.





