Tag: data lakes
For higher education institutions, there is a growing focus on the importance of improving the student experience, which touches on virtually everything colleges and universities do. And how can higher education institutions improve the student experience? Data. Learn how higher education institutions can use data best practices to turn their data into insight.
As one-time donations increasingly become the norm, nonprofit development teams are challenged to think outside-the-box to attract, retain, and communicate with their valuable supporters. Nonprofit organizations can use data to inform an enhanced engagement strategy, but many are challenged to unlock the full value of that data affordably and at scale. To help nonprofits use the cloud to build innovative fundraising and member engagement solutions, we are launching a new program – AWS TechAction.
Easterseals, DC MD VA is a multifaceted nonprofit organization with the goal of enriching lives and expanding opportunities for children and adults in the Washington DC, Maryland, and Virginia (DMV) area, including people with disabilities and military backgrounds. With support from our account team at AWS, Easterseals established a data lake to better understand and define the impact our organization has on its participants with the overarching goal of empowering all people to to achieve their potential and live meaningful lives.
Data Lake for Nonprofits – powered by AWS and Salesforce.org now available to help unleash data insights
Nonprofits are using the cloud for fundraising, donor and member management, and communications. With this move online, they have access to more data than ever. However, sharing, connecting, and interpreting data from many different sources can be a challenge. To address this challenge, today AWS and AWS Partner Salesforce.org are announcing the general availability of Data Lake for Nonprofits – Powered by AWS.
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.
Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. This blog post is part of a larger series about getting started with setting up a healthcare data lake. In this blog post, I detail how the solution has evolved at a foundational level over the series to include microservices. I describe the design decisions I’ve made and the additional features used. You can access code samples for this solution through a GitHub repo for reference.
To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services.
The IMAGINE: Nonprofit conference in Washington, DC brought together leaders, technologists, and mission-driven innovators in the nonprofit sector to learn, connect, and inspire. Over the course of the conference, attendees explored the ways technology helps nonprofits make a positive impact around the world. At the keynote, Dave Levy, vice president of US government, nonprofits, and healthcare at Amazon Web Services (AWS), and Allyson Fryhoff, managing director of nonprofits at AWS, highlighted how nonprofits are on the front lines of addressing some of society’s greatest needs, and how harnessing the power of data can be a force multiplier for change.
In this blog post series on getting started building a data lake for healthcare with AWS, I focus on improving the security posture of our example build by incorporating the relatively new Attribute Based Access Control (ABAC) feature of Amazon Cognito. This helps to both streamline and improve the granularity of access control for various user profiles connected to our data lake scenario.
Using data lakes, nonprofits can use data to influence strategy and inform decisions that produce value and impact. In this post, learn how to build a data lake, ingest data from a PostgreSQL server, give permissions to users to consume the data using AWS Lake Formation, and access and analyze the data using Amazon Athena.