Tag: database

In the world of prescription drug monitoring, pharmacies rely on continuous access to data and software for responding to vital patient needs. This post highlights how one digital healthcare technology organization, Bamboo Health, provides critical access to prescription-monitoring services with the help of Amazon Web Services (AWS) and Amazon Relational Database Service (Amazon RDS).

The Natural History Museum (NHM) in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have partnered up to transform and accelerate scientific research by bringing together a broad range of biodiversity and environmental data types in one place for the first time. In an earlier post, we discussed NHM’s overall vision for using open data in combination with large-scale compute, data systems, and machine learning (ML) to create the Planetary Knowledge Base (PKB), a knowledge graph of global biodiversity. In this post, we focus on the underlying services and architecture that comprise the PKB.

Amazon Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. In our work with research leaders and stakeholders, users often ask us about best practices for leveraging cloud for research. In this post, we dive into five common questions we field from research leaders as they build the academic research innovation centers of the future.

The National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS DSS), powered by AWS, is a genomic database that provides access to publicly available datasets for Alzheimer’s disease and related neuropathologies. Created to make Alzheimers-genetics knowledge more accessible to researchers, NIAGADS has genomics data on 172,701 samples from 98 datasets and is now 1.3 petabytes (PB) in total size. NIAGADS is creating a system that promotes scientific discovery through data sharing with a large cadre of institutions.

Graph database solutions like Amazon Neptune from AWS help organize learner information to enable more holistic analysis for educational institutions and education technology companies (EdTechs). By linking learner data from multiple sources and drawing new correlations from data, educators can deliver more personalized learning experiences. In this blog post, learn how educators can use graph databases to enhance the learning experience.

Forrester estimates that data-driven businesses are growing at an average of more than 30 percent annually. This is also happening at education technology companies. With new data sources have emerging, including real-time streaming data from virtual classrooms, mobile engagement, unique usage, and new learners, these data sources are shaping the next generation of EdTech products that engage learners meaningfully around the world. Learn how four AWS EdStart Members are utilizing data to power their solutions.

Document databases make it simpler for developers to store and query data in a database by using the same document-model format they use in their application code. Amazon DocumentDB is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. This blog post details how public sector organizations are using Amazon DocumentDB, and why so many organizations are turning to this purpose-built database to address JSON intensive applications.

The era of the cloud has simply accelerated the push to microservices as organizations want to adopt new, distributed models for building applications to drive agility, innovation, and efficiency. The AWS portfolio of purpose-built databases can help with this movement. AWS offers a broad and deep portfolio of purpose-built databases that support diverse data models and allow customers to build data driven, highly scalable, distributed applications. This allows you to pick the best database to solve a specific problem and break away from restrictive commercial databases to focus on building applications to meet the needs of their organization.

Many organizations including the intelligence community, security organizations, law enforcement, regulatory bodies, news organizations, and non-governmental organizations work together to disrupt transnational crime networks. Their missions include combating illicit trade; disrupting human, animal, and narcotics trafficking; detecting money laundering; and exposing political corruption. This community needs rapid analysis of large, diverse streams of information about air transportation networks, because air transportation is the fastest way to conduct illicit trade internationally. The nonprofit Center for Advanced Defense Studies (C4ADS) built the Icarus Flights application to meet this need. By building on AWS using managed cloud services, C4ADS spends less time and energy managing infrastructure, which frees them to focus on building innovative analytics and alerting services that their user community needs.

Now more than ever, governments, education institutions, healthcare organizations, and nonprofits globally look to modernize IT to operate more effectively and meet their missions. Cloud technologies are being used to power machine learning and data analytics for quicker insights to advance medicine and science, manage data at scale, and build a resilient workforce and foster a culture of innovation. To help and inspire organizations to use the cloud to accelerate modernization and digital transformation, AWS will hold the AWS Public Sector Summit Online on October 20, 2020.