Google Cloud/Scientific Data Processing: Difference between revisions
From charlesreid1
(Created page with "Multi-part tutorial for running a scientific data processing pipeline. Topics: * Weather Data in BigQery * Apache Spark for Image Processing using Spark and Dataproc * Image...") |
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* Weather Data in | * Weather Data in BigQuery | ||
* Apache Spark for Image Processing using Spark and Dataproc | * Apache Spark for Image Processing using Spark and Dataproc | ||
* Image Processing Pipeline using Beam and Dataproc | * Image Processing Pipeline using Beam and Dataproc | ||
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* Predicting Baby Weight with Tensorflow on CloudML Engine | * Predicting Baby Weight with Tensorflow on CloudML Engine | ||
* Image Classification of Coastlines using Tensorflow on CloudML Engine | * Image Classification of Coastlines using Tensorflow on CloudML Engine | ||
Pages: | |||
[[Google Cloud/Weather Data in BigQery]] - analyzing historical weather data and other data using BigQuery | |||
[[Google Cloud/Spark Image Proc]] | |||
[[Google Cloud/Image Processing Pipeline]] | |||
[[Google Cloud/Baby Weight Tensorflow CloudML]] | |||
[[Google Cloud/Coastline Classification Tensorflow CloudML]] | |||
Revision as of 22:27, 8 January 2018
Multi-part tutorial for running a scientific data processing pipeline.
Topics:
- Weather Data in BigQuery
- Apache Spark for Image Processing using Spark and Dataproc
- Image Processing Pipeline using Beam and Dataproc
- Analyzing BigQuery Data with Datalab
- Predicting Baby Weight with Tensorflow on CloudML Engine
- Image Classification of Coastlines using Tensorflow on CloudML Engine
Pages:
Google Cloud/Weather Data in BigQery - analyzing historical weather data and other data using BigQuery
Google Cloud/Image Processing Pipeline