Opendata.aws Website Review

when data is shared on aws, anyone can an*lyze it and build services on top of it using a broad range of compute and data an*lytics lets data users spend more time on data an*lysis rather than data acquisition. examples of how data shared on aws is accelerating research and creation of new applications. visit earth on aws to learn about building planetary-scale applications in the cloud with open geospatial data. all public data from the hubble space telescope's active instruments are available for large-scale an*lysis on amazon s3. the allen institute for brain science and the university of washington provided students with 35tb of data with amazon s3. you can query billions of openstreetmap features with amazon athena without needing to do*nload data or set up a server. the national renewable energy laboratory (nrel) makes a 500 tb open weather model dataset available to the world on amazon s3. learn how to prepare 1000 genomes data for fast interactive an*lysis using amazon athena. when you share data on aws, you make it available to a large and growing community of developers, startups, and enterprises around the in aws, tools to an*lyze data are only ever a click away, which means you reduce the time it takes for people to start working with your the aws cloud expands daily, and data shared on aws becomes more useful as new features and services are released. researchers can an*lyze data shared on aws without needing to pay to store their own copy. they only pay for the compute they use, and do storage for publicly available high-value cloud-optimized datasets. we work with data providers who seek to: amazon web services (aws) is a dynamic, growing business unit within amazon.com. we are currently hiring software development engineers, product managers, account managers, solutions architects, support engineers, system engineers, designers and more. visit our careers © 2018, amazon web services, inc. or its affiliates. all rights reserved.