Category: Storage

Tessitura Network, a member-owned nonprofit company, provides customer relationship management (CRM) technologies and services to performing arts, cultural, and entertainment organizations around the world. Tessitura integrates what used to be disparate components of running an arts and culture organization, and supports organizations to gain a full picture of their customers and patrons, to segment and analyze data for insights, and to build personalized engagements with donors and communities they serve—all using the cloud and Amazon Web Services (AWS).

Terabytes of Earth Observation (EO) data are collected each day, quickly leading to petabyte-scale datasets. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. In this post, we show you how to set up a Pangeo solution with Kubernetes, Dask, and Jupyter notebooks step-by-step on Amazon Web Services (AWS), to automatically scale cloud compute resources and parallelize workloads across multiple Dask worker nodes.

Maryland Transportation Institute (MTI), an interdisciplinary research and education organization based out of the University of Maryland, focuses on solving complex transportation problems. When COVID-19 hit, MTI was presented with an urgent new problem: the organization was tasked with gathering, processing, and reporting daily transportation data from nearly 65% of the US population. To keep the public safe, they needed more computing power—quickly. They used the AWS Cloud.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. We work with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-native techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Our full list of publicly available datasets are on the Registry of Open Data on AWS. This quarter, we released 26 new or updated datasets including datasets on climate, koala genomes, analysis ready radar data, and highly-queryable genomic data. Check out some highlights.

Earlier this year, the Australian Bureau of Statistics (ABS) ran the Australian Census, the agency’s most significant workload, on Amazon Web Services (AWS). The Census is the most comprehensive snapshot of the country, and includes around 10 million households and over 25 million people. With the COVID-19 pandemic causing lockdowns across the country, ABS needed a digital option for the Census that was accessible and reliable for millions of people. They turned to the cloud.

Satellogic, a leader in high-resolution Earth observation (EO) data collection, is creating a live catalog of Earth and delivering daily updates to create a complete picture of our planet for decision makers so that they can tackle some of the biggest challenges of our time. Satellogic uses Amazon Web Services (AWS) to scale its live Earth catalog, enhance customer experiences, decrease data processing times, and optimize costs.

The Barnes Foundation is home to a legendary art collection, including some of the world’s most important impressionist, post-impressionist, and modern paintings. At the core of its mission is the advancement of education and art appreciation. When the COVID-19 pandemic shut down in-person tours and classes, the Barnes Foundation used the cloud to quickly pivot to develop and launch new online programming to continue to deliver their educational mission, and allowed them to triple enrollment in online courses for adults and reach 40 percent more school-age students during the 2020-2021 school year compared to in-person courses in pre-pandemic years.

After Rockdale County, Georgia was the victim of two cyber attacks, the jurisdiction turned to the cloud to strengthen the county’s security position. They worked with AWS Partner Tyler Technologies, Inc. to help with their migration, which not only enhanced data security and continuity of operations, but also reduced network downtime by 99 percent, while streamlining budgeting and reducing the IT staff’s burden.

In the immediate aftermath of a natural disaster, cell towers, power lines, and telephone and internet cable are often damaged or destroyed, limiting the ability for responders to share data and access the internet. The AWS Disaster Response team conducted a field testing operation designed to replicate a common disaster response scenario, to show how to establish an ad-hoc network at field sites with limited connectivity and create a link to an office headquarters to provide access to cloud-based resources and data to responders in the field.

To solve some of the most pressing water and energy challenges, scientists and engineers need access to robust, reliable data that is often sensitive and protected. Data providers, researchers, and host institutions need to adhere to strict requirements for protecting and securing this data. The Center for Water-Energy Efficiency (CWEE) at the University of California, Davis (UC Davis) used AWS to create a centralized, secure data repository that streamlines data sharing.