Category: AWS Big Data

Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.

Amazon Web Services (AWS) is proud to be a healthcare and technology partner for the Cancer AI Alliance (CAIA), a new initiative announced today. The CAIA is a consortium of four National Cancer Institute (NCI)-designated cancer centers, led by the Fred Hutch Cancer Center, and leading technology and service companies. AWS is contributing a total of $10 million towards the more than $40 million in funding that helps establish the CAIA.

The Climate Risk Research Foundation is a nonprofit that supports data-driven climate research. Their goal is to help decision-makers identify the potential impact and magnitude of climate-related risks and develop possible mitigation strategies. We chatted with the organization’s chairman, Brendan Reilly, to learn how its Sustainable Africa Initiative (SAI) is empowering agricultural experts in Nigeria to analyze climate risk models on Amazon Web Services (AWS) to prevent future food insecurity in their local communities.

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This past quarter, AWS released 21 new or updated datasets. What will you build with these datasets?

UK Biobank, the world’s most comprehensive source of health data used for research, needed a purpose-built data platform with compute and data-storage capabilities that provided analysis tools in a centralized environment and the flexibility to manage increasing quantities of data. This led to the establishment and launch of the secure, cloud-based UK Biobank Research Analysis Platform (RAP), which is hosted on Amazon Web Services (AWS). Read this post to learn more about UK Biobank’s journey to becoming a globally accessible dataset for health researchers.

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. Through this program, customers are making more than 100 petabytes (PB) of high-value, cloud-optimized data available for public use. Read this blog post to learn about the 34 new or updated datasets that were released in the first quarter.

On March 20, the Amazon Web Services (AWS) IMAGINE: Nonprofit conference returns to the Washington, DC metropolitan area for our eighth year of learning with nonprofit leaders from around the world. This annual event inspires nonprofits to rethink what’s possible for their mission, through the latest innovations in the cloud. Discover new ideas, build connections, and interact with cutting-edge technology onsite. Whether it’s your first time attending, or your eighth, here are a few tips to make the most of IMAGINE: Nonprofit 2024.

Data is key to a higher education institution’s ability to expose insights and improve student performance and outcomes. Helping institutions understand how data can be used and how it can propel institutions toward a brighter future is a priority for Amazon Web Services (AWS). With many data solutions available, read this blog post to learn how AWS can help education institutions map out an individualized data journey.

Climate risk consists of transition risk and physical risk. Transition risk represents regulatory and market-based risks while physical climate risk covers climate-related earth processes and its effects on the built and natural environment. In this blog post, we highlight how to use Amazon Web Services (AWS) to enrich your asset portfolio with open climate data hosted in AWS.

The research team at SLU’s Sinquefield Center for Applied Economic Research (SCAER) required vast quantities of anonymized cell phone data in order to study the impacts of large-scale social problems. SCAER needed to store, clean, and process 450 terabytes of data, so it worked with Amazon Web Services (AWS) to create a fast, cost-effective solution for managing its growing quantities of data.