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Pangeo & OpenEO Joint tutorial for BiDS23 - "Scaling Big Data Analysis with Pangeo and OpenEO: Unlocking the Power of Space Data"

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Unlocking the Power of Space Data with Pangeo & OpenEO

All Contributors

This repository contains the documentation and jupyter notebooks used for delivering tutorial to BiDS'23.


The content of this repository (folder tutorial) is rendered as an online document using Jupyter Book. You can access it here.

Timeline of the workshops

The programmes for each workshop are given below for your information. Each workshop is held separately.

Introduction to Pangeo

Time Activity
09:00 👋 Welcome (5 minutes)
09:05 Introduction and Motivation (15 minutes)
09:20  Overview of the Pangeo ecosystem (20 minutes)
 09:40  Understanding Xarray to avoid common pitfalls (30 minutes)
 10:10  Interactive Visualization with Hvplot (15 minutes)
10:30 Break (30 minutes)

Introduction to OpenEO

Time Activity
11:00 👋 Introduction and motivation (5 minutes)
11:05 Getting started with OpenEO (10 minutes)
11:15 Accessing and processing data with OpenEO (30 minutes)
11:45 Integrate custom code into your workflow using User Defined Functions (30 minutes)
12:15 Q&A session - feedbacks (15 minutes)
12:30 🍽️ Lunch

Unlocking the Power of Space Data with Pangeo & OpenEO

Please note that this workshop assumes some prior knowledge of Pangeo and OpenEO. If you are not familiar with any of these technologies, we suggest to check the content of the two other workshops (taught in the morning).

Time Activity
14:00 👋 Introduction and motivation (5 minutes)
14:05 Data discoverability and searchability (25 minutes)
An overview of STAC and the different available sources
14:30 Data and pre-processing general knowledge (60 minutes)
Introduction to chunking with netCDF, ZARR and Kerchunk
Parallelization with Dask
15:30 ☕️ Break
16:00 Different data exploitation approaches (60 minutes)
How to exploit data with OpenEO: snow coverage example
How to exploit data on Pangeo: pure Xarray version
17:00 How to go beyond (45 minutes)
Custom algorithms: UDF (OpenEO) and ufunc (Xarray)
Scaling with OpenEO (how it works underneath)
17:40 Wrap-up and feedback survey (15 minutes)

These timelines are purely approximative and given for indication purpose only. We will adjust depending on the audience. There will be additional breaks (5 minutes) regularly and time for questions during the workshops.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Alejandro ©
Alejandro ©

🤔 🎨 💻 🖋 📖
Alexander Jacob
Alexander Jacob

🤔 🎨 💻 🖋 📖
Amin Razbani
Amin Razbani

🤔 📓
Anne Fouilloux
Anne Fouilloux

🤔 🎨 💻 🖋 📖
Daniel Thiex
Daniel Thiex

🤔 🎨 💻 🖋 📖
Guillaume Eynard-Bontemps
Guillaume Eynard-Bontemps

🤔 🎨 💻 🖋 📖
Jeroen Dries
Jeroen Dries

🤔 🎨 💻 🖋 📖
Justus Magin
Justus Magin

🤔 🎨 💻 🖋 📖
Matthias Mohr
Matthias Mohr

🤔 🎨 💻 🖋 📖
Michele Claus
Michele Claus

🤔 🎨 💻 🖋 📖
Miguel Caballer Fernandez
Miguel Caballer Fernandez

🚇 📦
Ola
Ola

🤔
Pratichhya
Pratichhya

🤔 🎨 💻 🖋 📖
Sebastian Luna-Valero
Sebastian Luna-Valero

🚇 📦
Stefaan Lippens
Stefaan Lippens

🤔 🎨 💻 🖋 📖
Tina Odaka
Tina Odaka

🤔 🎨 💻 🖋 📖
ValentinaHutter
ValentinaHutter

🤔 🎨 💻 🖋 📖
Zdeněk Šustr
Zdeněk Šustr

🚇 📦
bschumac
bschumac

🚇 📦 📋
j34ni
j34ni

🚇 📦
pl.marasco
pl.marasco

🤔 🎨 💻 🖋 📖

This project follows the all-contributors specification. Contributions of any kind welcome!

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Pangeo & OpenEO Joint tutorial for BiDS23 - "Scaling Big Data Analysis with Pangeo and OpenEO: Unlocking the Power of Space Data"

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