Linda Sheard lindacmsheard

Earth Observation and Geo Data sources

UK National Organsations

NCEO

National Centre of Earth Observation

CEDA

CEDA is the Centre for Enviromental Data Analysis

The CEDA Archive on JASMIN is the largest EO data archive in the UK

Session recording available at https://aka.ms/PBICommunityHub

Recording

Deck

Solution Architecture and Integration - General

Geospatial Data on the front-end with Azure Maps

Energy company improves power grid operation with Azure-based web platform | Microsoft Customer Stories

Large Scale Vector Analytics with Esri GeoAnalytics Engine

ArcGIS GeoAnalytics Engine

March 2025 - released for public preview on Fabric

How to enable on Fabric

The GeoAnalytics Engine is a tenant level settings. With Tenant-level admin permissions, go to

Admin portal > Tenant Settings > Integration Settings > ArcGIS GeoAnalytics in Fabric Runtime (preview) or filter for keyword geo within Tenant Settings.

Using fsspec to fetch from public git repositories

Thanks to https://sebastianwallkoetter.wordpress.com/2022/01/30/copy-github-folders-using-python/ for a solutuion to get hold of code from github when github integration is not available.

Adapting to add full recursion below:

Fetch without recursion

import fsspec
from pathlib import Path

Setup

gcloud init

Login

interactive

gcloud auth login

Calendar Settings

Set timescale to 15 minutes (Settings > Calendar > View)
Set declined items to remain visible (Settings > Calendar > Events and invitatations)
create named views with filters (Calendar > Views )
- Note: this does not save filter settings, only layout

Notes on Azure ML environments

(Ref: https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-environment#yaml-syntax)

The environment item in an AzureML cli v2 job specification yml file can leverage an AzureML curated environment directly, referenced as follows:

environment: azureml:AzureML-pytorch-1.10-ubuntu18.04-py38-cuda11-gpu@latest

A list of available curated environments can be found here, or from wtihin the environments tab in AzureML Studio.

Context: this question

The following commands can be exectuted from within the Data Explorer interface of an Azure Cosmos DB Gremlin API database resource, or from other gremlin consoles such as a local TinkerPop installation.

Create required vertices

This can be in an empty graph, like that created when adding a graph in Azure Cosmos DB Gremlin API or added to an exsisting graph, like for example the 'modern' sample graph from the Tinkerpop Getting Started documentation.

g.addV("person").property("pk","pk").property("id","a").property("name","Alice")
g.addV("person").property("pk","p

	# This terraform spec provisions
	# - Azure resource group
	# - Azure Cosmos DB Account (SQL API, Analytics Storage enabled)
	# - Azure Log Analytics Workspace
	# - Diagnostic Setting that sends Cosmos DB logs to the Log Analytics Workspace
	# - A Cosmos database in the account (SQL API document db)
	# - A container in the database, with throughput and indexing configurations

	# Set up terraform (basic example, local backend)
	terraform {