AWS Public Sector Blog

Tag: Data Lake

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Accelerating nonprofit and education sector impact through data insights with Salesforce and AWS

Nonprofits and education institutions of all sizes rely on large amounts of data to serve their stakeholders, programs, and governance. For many organizations, the first step in a technology transformation begins with centralizing data that is siloed across a variety of mission critical systems. In support of these goals, Salesforce.org and Amazon Web Service (AWS) are working together to help nonprofits and education institutions derive actionable insights from their data.

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How Times Higher Education accelerated their journey with the AWS Data Lab

Times Higher Education (THE) is a data-driven business that, with the help of AWS, is now realising the value of their data, which enables them to be better informed and make faster decisions for customers. THE provides a broad range of services to help set the agenda in higher education, and their insights help universities improve through performance analysis. THE worked with the AWS Data Lab to create a centralised repository of their data. Launching a data lake helped with providing a cost-effective platform and cataloguing data so they could understand their data and design new products to make use of it.

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Modern data engineering in higher ed: Doing DataOps atop a data lake on AWS

Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One reason that DevOps was hard on databases was because testing was hard to automate on such systems. At California State University Chancellors Office (CSUCO), we took a different approach by residing most of our logic with a programming framework that allows us to build a testable platform. Learn how to apply DataOps in ten steps.

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Data lake

Building a data lake at your university for academic and research success

According to the National Center for Education Statistics, only 60 percent of college students receive a degree within six years. Universities—like Portland State University (PSU) and Oklahoma State University (OSU-OKC)—are using data lakes for analytics and machine learning to improve academic achievement by helping students reach their educational goals faster. Read on for how institutions use Amazon S3 for data lakes.

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Adding an ingress point and data management to your healthcare data lake

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.

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coronavirus

The COVID-19 Healthcare Coalition: Collaborating to save lives

The COVID-19 Healthcare Coalition is a private-sector led response to COVID-19 that brings together healthcare organizations, technology firms, nonprofits, academia, and startups to preserve the healthcare delivery system and help protect U.S. populations. AWS is a member of the COVID-19 Healthcare Coalition, working side by side with leading healthcare providers and researchers such as the Mayo Clinic, Johns Hopkins, and ZocDoc. Together, we’re coordinating our collective expertise, capabilities, and data to provide insights to improve clinical outcomes.

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Academic medical research

Using artificial intelligence and machine learning to advance medical research

Academic medical centers (AMCs) are under pressure to reduce costs, innovate at scale, and improve operational performance. To do this, they’re turning to the cloud. Two AWS Partner Network (APN) Public Sector Partners used the cloud to create solutions for AMCs that use large datasets to help advance medical research and analyze genomic data. Learn how these two partners are building solutions in the cloud to help AMCs further their mission.

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Getting started with a healthcare data lake

Data related to healthcare, in both volume and variety, is undergoing a tremendous expansion. One of the best ways to tackle complicated data integration is through a data lake: a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics, such as data warehousing, big data processing, or operational analytics, to gain insights and guide better business decisions.

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Resources for researchers and institutions to work remotely

The rapidly changing and dynamic global health situation has impacted the lives of many people including researchers at universities and institutions worldwide. Many academic institutions are migrating to remote operations. Researchers are processing data, collaborating online, and trying to maintain labs remotely. Amazon and AWS are responding to these events in support of our communities and deploying resources and technology to enable remote learning and home working.

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Telemedicine

Supporting healthcare with technology in response to COVID-19

Cloud-based technology is supporting healthcare organisations and governments in response to the evolving COVID-19 situation. Healthcare providers and professionals, governments, and patients around the world are facing an unprecedented challenge. Here are some of the ways that these health-focused organisations use cloud-based technology to help improve patient services and outcomes.

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