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Analyzing 200 years of climate data using SAP HANA and Amazon SageMaker

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4.50 (6 votes)
4 Nov 2019CPOL
Using data from the Global Historical Climatology Network project we can crunch, analyze, and make predictions using gigabytes of numeric climate data collected over two centuries with the SAP HANA in-memory database and Amazon SageMaker hosted Jupyter notebooks.

This article is part of the Cloud AI Challenge with SAP HANA and Amazon SageMaker. This entry is not meant to be a full article - it's purely just an outline of an idea - and will be removed once the contest has concluded.

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Compare Revision Minor Date Status Editor
9 - publicly available Yes 4-Nov-19 12:10 Available Allister Beharry
The article has been approved
8 Yes 4-Nov-19 12:05 Pending Allister Beharry
Updates in content. Changes: 701
7 Yes 4-Nov-19 8:35 Available Sean Ewington
Updates in content. Changes: 14
6 Yes 2-Nov-19 2:45 Available Allister Beharry
The article has been approved
5 No 2-Nov-19 1:21 Pending Allister Beharry
Minor content updates
4 No 1-Nov-19 18:09 Pending Allister Beharry
More content, fixes
3 Yes 1-Nov-19 8:38 Available Allister Beharry
The article has been approved
2 Yes 1-Nov-19 8:38 Available Allister Beharry
The article has been approved
1 No 1-Nov-19 7:16 Pending Allister Beharry
Updates in content. Changes: 10654

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Allister Beharry
Software Developer
Trinidad and Tobago Trinidad and Tobago
I've been programming computers as a hobby and professionally for almost 20 years. I like both Windows and Linux. My current areas of interest are computer security, machine learning and .NET HPC.

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