Category: Amazon Simple Storage Service (S3)

Data lakes are becoming increasingly common in many different workloads, and geospatial is no exception. In 2021, Amazon Web Services (AWS) announced geography and geohash support on Amazon Redshift, so geospatial analysts have the capability to quickly and efficiently query geohashed vector data in Amazon Simple Storage Service (Amazon S3). In this blog post, I walk through how to use geohashing with Amazon Redshift partitioning for quick and efficient geospatial data access, analysis, and transformation in your data lake.

To support Singapore’s national vaccination program, the Integrated Health Information Systems (IHiS) needed the capability to scale its systems to sustain significantly higher loads at very short notice. In addition, its teams needed to be able to develop and implement new features at speed to address evolving vaccination policies and changing, on-the-ground requirements. The agency turned to Amazon Web Services (AWS).

Oregon and Washington are home to the Confederated Tribes of the Umatilla Indian Reservation (CTUIR)—a union of the Cayuse, Walla Walla, and Umatilla tribes. Their language, Sahaptian is classified as severely endangered by UNESCO. CTUIR was searching for a way to preserve legacy knowledge in a way that can be passed down to future generations and strengthen its community. To do this, CTUIR worked with Amazon Web Services (AWS) and AWS Partner Dan Ryan to build an online dictionary of the Sahaptian language, powered by the cloud.

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.

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.

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.

The AWS Cloud gives you access to virtually unlimited infrastructure suitable for high performance computing (HPC) workloads. With HPC, you can remove long queues and waiting times so you don’t have to choose availability over performance. In this technical guide, learn how to use AWS ParallelCluster to set up and manage an HPC cluster in a flexible, elastic, and repeatable way.