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

Allister Beharry

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4 Nov 2019CPOL12 min read

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

Written By

Allister Beharry

Software Developer

Trinidad and Tobago

I've been programming computers as a hobby and professionally for more than 20 years. I like both Windows and Linux. My current areas of interest are computer security, machine learning, conversational user interfaces, and .NET HPC.

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

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