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Computational aspects of AI for environmental sciences
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Intro Part III - Data science and big data analytics
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Lessons
Intro Part I - Data science and big data analytics
2:35
Web accessible data & data publications
8:58
Pythons request library
7:27
Some hints for good data management
10:41
The netCDF file format
6:39
The role of metadata
4:00
Work with netCDF data in Python
6:32
Intro Part II - Data science and big data analytics
1:07
Types of data in Earth system science
6:29
5 "V" of Earth system data types
10:56
How to cope with > 1 TByte of data
1:33
Intro Part III - Data science and big data analytics
1:50
Challenges of large-scale data analysis and data system architectures
6:15
Data structures, data models & data patterns
4:45
Classic design patterns
14:10
Modern design patterns
15:20
Hadoop & MapReduce
6:29
Intro Part III - Data science and big data analytics
Background information on large-scale data handling
Lecturer
s
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PD Dr. Martin Schultz
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Additional Material
Additional Material
Additional Material
Git Repository with Jupyter Notes
