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© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Jed Sundwall, Global Open Data Lead
Open Data on AWS
https://opendata.aws
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Agenda
Overview of Open Data on AWS
How shared data on the cloud can accelerate research
Finding data shared on AWS
Sharing data on AWS
Chat with Ann Molin from Hack for Sweden
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
No Up Front Expense
Pay for what you Use
Improve Time to
Market & Agility
Scale Up and
Down
Self-Service
Infrastructure
AWS Cloud
Equipment
Resources and
Administration
Contracts Cost
Traditional
Infrastructure
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Why does AWS care about open data?
Many AWS customers supply data
to the public to accelerate research
and product development.
Many AWS customers use data
shared on AWS to create new
products and services.
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Companies want more value from their data
Complications:
Siloed approaches don’t work anymore
It’s too expensive and limiting to store data
on-premises
Data is:
Implication:
A new approach is needed to extract insights
and value
Growing
exponentially
From new
sources
Increasingly
diverse
Used by
many people
Analyzed by
many applications
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
“…data must be organized, well-documented,
consistently formatted, and error free. Cleaning the data
is often the most taxing part of data science, and is
frequently 80% of the work.”
— Data Driven by DJ Patil and Hilary Mason
Undifferentiated heavy lifting
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Flipped data flow in the cloud
Traditional approach:
Move data to computing resources.
Cloud approach:
Move computing resources to data.
Amazon S3
Amazon
EC2
Amazon
EMR
Amazon
Athena
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Cloud data lakes are the future
Customers want:
To eliminate data silos
To move to a single store, i.e. a data lake in the cloud
To store data securely in standard formats
To grow to any scale, with low costs
To analyze their data in a variety of ways
To have real-time analytics
To predict future outcomes
Data Lake
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Sharing data in the cloud lets data
users spend more time on data
analysis rather than data acquisition.
https://opendata.aws
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Advantages of sharing data in the cloud
Global community of users
Faster pace of research Lower cost of research
New services and tools
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AWS Public Datasets
https://registry.opendata.aws
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AWS Public Datasets
https://registry.opendata.aws/tag/satellite-imagery
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Data at work
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
“…data must be organized, well-documented,
consistently formatted, and error free. Cleaning the data
is often the most taxing part of data science, and is
frequently 80% of the work.”
— Data Driven by DJ Patil and Hilary Mason
Undifferentiated heavy lifting
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Graph by Drew Bollinger (@drewbo19) at Development Seed
Landsat on AWS
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Monitoring at-risk bodies of water from space
The Blue Dot Observatory uses
Sentinel-2 satellite data on AWS to
monitor water bodies around the world.
“The cost to process one month of data
for about 7,000 bodies of water
currently in the system is 6 EUR. It is
possible to set up world-scale systems
with a shoestring budget.”
opendata.aws/bluedot
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Opening high resolution elevation data
USGS shares over 10 trillion lidar point
cloud records from across the US on AWS.
“The democratization of elevation data
[…] promises to revolutionize approaches
to applications from flood forecasting and
geologic assessments to precision
agriculture and infrastructure
development.”
— Kevin Gallagher, USGS
opendata.aws/usgs-lidar
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Facilitating over 31 million journeys made in London every day
When Transport for London opened up
access to its data, application developers
and researchers used it to create more
than 600 applications that provide
services to 42 percent of Londoners,
saving an up to estimated £130 million
per year.
opendata.aws/tfl
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Finnish Meteorological Institute data on AWS
The Finnish Meteorological Institute
makes large scale weather and air quality
models available through the AWS Public
Dataset program.
registry.opendata.aws/hirlam
registry.opendata.aws/silam
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Finnish Meteorological Institute data on AWS
0
10000
20000
30000
40000
50000
60000
70000
06/2017
08/2017
09/2017
11/2017
12/2017
02/2018
04/2018
05/2018
07/2018
09/2018
HIRLAM DOWNLOADS FROM DIFFERENT CHANNELS
FMI AWS Normalised Trendline of FMI Trendline of AWS
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
NauticAI – transforming the maritime industry
“Our system automatically receives
motion data, combines it with ship
location and external weather, and
securely feeds the data over an API to the
customer’s analytics system. This real-
time data stream gives the customer
information on how wind and waves
affect on-board navigation. Combined
with weather forecast data, it enables
prediction and optimization of
navigation.”
opendata.aws/nauticai
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Finding data on AWS
Using the Registry of Open Data on AWS (RODA)
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Registry of Open Data on AWS
https://registry.opendata.aws/
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Registry of Open Data on AWS – Tags
https://registry.opendata.aws/tag/sustainability
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Registry of Open Data on AWS – Usage examples
https://registry.opendata.aws/usage-examples
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Registry of Open Data on AWS – How to contribute
https://github.com/awslabs/open-data-registry
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Guide to sharing data on AWS
Sharing
Data on
AWS
Over 40 pages of insights on data
sharing and case studies from
customers including:
- Transport for London
- Canada’s Communications
Security Establishment
- The US Geological Survey
- The Allen Institute for Brain
Science
https://opendata.aws/guide-pdf
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Thank you!
jed@amazon.com
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Chat with:
Ann Molin
Head Project Manager at Hack for Sweden
hackforsweden.se

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Open Data on AWS

  • 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Jed Sundwall, Global Open Data Lead Open Data on AWS https://opendata.aws
  • 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Agenda Overview of Open Data on AWS How shared data on the cloud can accelerate research Finding data shared on AWS Sharing data on AWS Chat with Ann Molin from Hack for Sweden
  • 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark No Up Front Expense Pay for what you Use Improve Time to Market & Agility Scale Up and Down Self-Service Infrastructure AWS Cloud Equipment Resources and Administration Contracts Cost Traditional Infrastructure
  • 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Why does AWS care about open data? Many AWS customers supply data to the public to accelerate research and product development. Many AWS customers use data shared on AWS to create new products and services.
  • 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Companies want more value from their data Complications: Siloed approaches don’t work anymore It’s too expensive and limiting to store data on-premises Data is: Implication: A new approach is needed to extract insights and value Growing exponentially From new sources Increasingly diverse Used by many people Analyzed by many applications
  • 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “…data must be organized, well-documented, consistently formatted, and error free. Cleaning the data is often the most taxing part of data science, and is frequently 80% of the work.” — Data Driven by DJ Patil and Hilary Mason Undifferentiated heavy lifting
  • 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Flipped data flow in the cloud Traditional approach: Move data to computing resources. Cloud approach: Move computing resources to data. Amazon S3 Amazon EC2 Amazon EMR Amazon Athena
  • 8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Cloud data lakes are the future Customers want: To eliminate data silos To move to a single store, i.e. a data lake in the cloud To store data securely in standard formats To grow to any scale, with low costs To analyze their data in a variety of ways To have real-time analytics To predict future outcomes Data Lake
  • 9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. https://opendata.aws
  • 10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Advantages of sharing data in the cloud Global community of users Faster pace of research Lower cost of research New services and tools
  • 11. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS Public Datasets https://registry.opendata.aws
  • 12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AWS Public Datasets https://registry.opendata.aws/tag/satellite-imagery
  • 13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Data at work
  • 14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “…data must be organized, well-documented, consistently formatted, and error free. Cleaning the data is often the most taxing part of data science, and is frequently 80% of the work.” — Data Driven by DJ Patil and Hilary Mason Undifferentiated heavy lifting
  • 15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Graph by Drew Bollinger (@drewbo19) at Development Seed Landsat on AWS
  • 16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Monitoring at-risk bodies of water from space The Blue Dot Observatory uses Sentinel-2 satellite data on AWS to monitor water bodies around the world. “The cost to process one month of data for about 7,000 bodies of water currently in the system is 6 EUR. It is possible to set up world-scale systems with a shoestring budget.” opendata.aws/bluedot
  • 17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Opening high resolution elevation data USGS shares over 10 trillion lidar point cloud records from across the US on AWS. “The democratization of elevation data […] promises to revolutionize approaches to applications from flood forecasting and geologic assessments to precision agriculture and infrastructure development.” — Kevin Gallagher, USGS opendata.aws/usgs-lidar
  • 18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Facilitating over 31 million journeys made in London every day When Transport for London opened up access to its data, application developers and researchers used it to create more than 600 applications that provide services to 42 percent of Londoners, saving an up to estimated £130 million per year. opendata.aws/tfl
  • 19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Finnish Meteorological Institute data on AWS The Finnish Meteorological Institute makes large scale weather and air quality models available through the AWS Public Dataset program. registry.opendata.aws/hirlam registry.opendata.aws/silam
  • 20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Finnish Meteorological Institute data on AWS 0 10000 20000 30000 40000 50000 60000 70000 06/2017 08/2017 09/2017 11/2017 12/2017 02/2018 04/2018 05/2018 07/2018 09/2018 HIRLAM DOWNLOADS FROM DIFFERENT CHANNELS FMI AWS Normalised Trendline of FMI Trendline of AWS
  • 21. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark NauticAI – transforming the maritime industry “Our system automatically receives motion data, combines it with ship location and external weather, and securely feeds the data over an API to the customer’s analytics system. This real- time data stream gives the customer information on how wind and waves affect on-board navigation. Combined with weather forecast data, it enables prediction and optimization of navigation.” opendata.aws/nauticai
  • 22. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Finding data on AWS Using the Registry of Open Data on AWS (RODA)
  • 23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Registry of Open Data on AWS https://registry.opendata.aws/
  • 24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Registry of Open Data on AWS – Tags https://registry.opendata.aws/tag/sustainability
  • 25. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Registry of Open Data on AWS – Usage examples https://registry.opendata.aws/usage-examples
  • 26. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Registry of Open Data on AWS – How to contribute https://github.com/awslabs/open-data-registry
  • 27. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Guide to sharing data on AWS Sharing Data on AWS Over 40 pages of insights on data sharing and case studies from customers including: - Transport for London - Canada’s Communications Security Establishment - The US Geological Survey - The Allen Institute for Brain Science https://opendata.aws/guide-pdf
  • 28. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Thank you! jed@amazon.com
  • 29. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Chat with: Ann Molin Head Project Manager at Hack for Sweden hackforsweden.se