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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
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