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Workshops

Wednesday, October 19th

New York

A
Spatial Data Science Conference
event
Spatial Data Science Conference
Workshop in SDSC22 London

This year we'll be holding multiple Spatial Data Science Workshops in multiple locations in the city - in partnership with our sponsors (CARTO, Google Cloud, Snowflake, Databricks, and AWS). These workshops are designed for Data Science and Analytics professionals in a range of industries - so whether you’re getting started in spatial analysis or l ooking to work on more advanced techniques, there will be relevant content for you - as well as an opportunity to network with like-minded individuals working on similar challenges.

Gladys profile picture
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The SDSC workshops were varied, informative and thought provoking, as well as interactive and fun! I really enjoyed learning and networking with all the attendees. Highly recommended day!
- Gladys Kenyon | PhD student in Data Analytics at University of Liverpool

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Google Cloud

Democratising Geospatial: Advanced Spatial Analytics at Scale

Google Building in Chelsea

Google Chelsea Campus, NY

* Please note that this ticket reserves your spot for all of workshops at this location.
* You cannot order tickets for more than one workshop location.

Agenda
09:30 Registration
10:30 Powering Cloud-based Spatial Analytics for Retail with CARTO More information arrow
Helen McKenzie Miguel Álvarez

Helen McKenzie

Geospatial Advocate at CARTO

Miguel Álvarez

Lead Data Scientist at CARTO

How can I characterise my stores with external data? What factors are driving higher sales in specific restaurants? Where can I find locations of high revenue potential where I’m not threatened by competitors? Join Miguel Alvarez (Lead Data Scientist at CARTO) in this workshop, where he will showcase some of the key functions of the Analytics Toolbox and how you can utilise spatial indices, advanced analysis functions, and map visualisations to run an end-to-end spatial analysis in Retail, natively in the cloud. This is a hands-on workshop, so be ready to run your own analysis in BigQuery!

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12:00 Eroding Coastlines: A GeoSpatial and Computer Vision Analysis More information arrow
Mansi Shah

Mansi Shah

Software Engineer

In this workshop, we will gain hands-on experience exploring publicly-available satellite imagery & using Python tools such as rasterio, numpy, openCV, shapely, and geopandas for analysis of medium- and high-resolution imagery data. During the second half of the workshop, we will apply what we’ve learned to identify & analyze instances of coastal erosion, one of the most pressing environmental and humanitarian challenges facing our planet today.

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13:00 Lunch
14:00 Retail and Geodemographics: A Spatial Data Science Approach More information arrow
Patrick Ballantyne

Patrick Ballantyne

Postdoctoral Research Fellow

This workshop will introduce users to ‘geodemographics’ as a tool for better understanding the characteristics of people living within the catchments of stores. Using the excellent SafeGraph places database, users will be introduced to a geodemographic classification built by GDSL researchers and shown various techniques in the open-source programming language R, for profiling the catchment of stores.

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15:00 Coffee Break
15:30 Scaling Spatial Analytics with Geospatial Cloud More information arrow
Donna Schut Travis Webb

Donna Schut

Solutions Manager, Analytics & AI

Travis Webb

Solutions Architect

This session will cover an overview of Google’s geospatial capabilities and common use cases, as well as a deeper dive into Geobeam and a flood modelling demo with CARTO.

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17:30 Women in Geospatial Networking Evening
AWS

Enable Serverless Geospatial Analytics and Machine Learning with AWS and CARTO

AWS building near the Empire State

Amazon JFK14, 7 W 34th St., NY

* Please note that this ticket reserves your spot for all of workshops at this location.
* You cannot order tickets for more than one workshop location.

Agenda
09:45 Registration
10:00 Enable Serverless Geospatial Analytics and Machine Learning with AWS and CARTO More information arrow
Alexey Karandashev Devin Herd Sohaib Katariwala Saurabh Shanbhag

Alexey Karandashev

AWS Software Development Engineer II - Spatial

Devin Herd

Global Lead for Geospatial Data, AWS Data Exchange

Sohaib Katariwala

AWS Analytics Specialist Solutions Architect

Saurabh Shanbhag

AWS Sr Partner Solutions Architect, Data & Analytics

With continuous growth in the size of datasets and declining cost of storage, it’s becoming more common to use a data warehouse like Amazon Redshift for geospatial datasets. With AWS Data Exchange, you can find and subscribe to third-party data sets and seamlessly query them alongside your first party data in Amazon Redshift. In Amazon Redshift, you can use spatial joins, built-in spatial functions, and machine learning models on your data directly in Amazon Redshift using SQL which analysts are already familiar with. By keeping the data in Amazon Redshift you can benefit from the best price-performance of any cloud data warehouse. With the geospatial capabilities enabled in Amazon Redshift, combined with the tools from CARTO, it’s possible to solve most spatial use cases natively in the cloud.

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12:00 End
Databricks

Building a Flexible Geospatial Lakehouse on the Databricks Platform

Presley Room at Jay Conference Fifth Avenue

Presley Room at Jay Conference Fifth Avenue, NY

* Please note that this ticket reserves your spot for all of workshops at this location.
* You cannot order tickets for more than one workshop location.

Agenda
09:30 Registration
10:00 Building a Flexible Geospatial Lakehouse on the Databricks Platform More information arrow
Michael Johns Timo Roest Kent Marten

Michael Johns

Specialist Solutions Architect at Databricks

Timo Roest

Solutions Architect at Databricks

Kent Marten

Staff Product Manager at Databricks

This action packed workshop will provide attendees with an understanding of how to build a scaled geospatial lakehouse, yielding the best attributes of data lakes, data warehouses, and streaming systems. Attendees will learn about the flexibility, efficiency, and power of Databricks to run various spatial analytics through detailed examples. Demonstrations will include building reliable data pipelines to process OSM data, perform isochrone analysis of OSM data, utilize H3 indexing for massive scale analytics, and building spatial applications with CARTO.

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11:30 Networking
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Snowflake

Geospatial Analytics with Snowflake and CARTO

Presley Room at Jay Conference Fifth Avenue

To be announced

* Please note that this ticket reserves your spot for all of workshops at this location.
* You cannot order tickets for more than one workshop location.

Agenda
09:30 Registration
10:00 Geospatial Analytics with Snowflake and CARTO More information arrow
Sergei Sokolenko Felipe Hoffa

Sergei Sokolenko

Sr. Manager of Product Management - Geospatial

Felipe Hoffa

Data Cloud Advocate

Snowflake is quickly becoming a platform of choice for conducting geospatial analytics in the cloud, and CARTO is one of our customers' preferred tools for extending (geospatial) analytics to (spatial) intelligence. This workshop will introduce the core concepts that make Snowflake different from other geospatial options and then provide an overview of the new features that Snowflake is launching this fall, including performance optimizations, fast geo search and Geometry support.

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